Talk:Issues in Interdisciplinarity 2020-21/Power in policy-making

Purpose of our discussion page
This section provides a space for group members to provide feedback and suggestions for improvement. It also complements our Wikibook, in the sense that it shows how we arrived at our final topic: issues of power between economics and politics in the making of tax policies. --Poccy3 (discuss • contribs) 21:52, 13 December 2020 (UTC)

First meeting 20/11/2020
In our first set up meeting for the Wikibooks chapter, unfortunately only three of us could attend, as one of us had to catch his flight back home. We started off by discussing the disciplines we want to play a role in our group project and continued with the planning of an interdisciplinary approach to them. Furthermore, we came up with a first type of research question, which was important to us in order to narrow down the research we have to do and get us a better idea of what the actual issue between these disciplines is. We came up with the research question ( Is consumer profiling through data mining, the most accurate way to predict economical behaviours? ) and chose evidence as the issue to be discussed. BonSchlonzo (discuss • contribs) 17:42, 20 November 2020 (UTC)

Second meeting 24/11/2020
This week all of us attended the meeting, therefore, we started off with a quick recap of week 1 to explain the organization and the plan with our research question to our fourth member and made our approach overall more clear. Lastly, the whole meeting was set up with the goal to break our research question down into four areas, which we then assigned to each of us in order to have a clear and easy idea of who needs to do what type of research and in which area.

The areas were the following:

For Jade: How data mining is being done? How is the data collected, processed, stored? What types of models are being used? Of what consists the quantitative evidence?

For Shervin: Behavioural Economics (How does it work, and what actually is consumer behaviour, what do firms do with it? Still with the aspect of data mining and anthropology in mind!)

For Simon: An anthropological approach to consumer profiling (what form of evidence is being used? How accurate is this in general? (in surveys, for example, people do not always say accurate statements about themselves, so how can that be accounted for, etc.)

For Niklas: How is the data that has been mined used for consumer profiling? In what sectors does this have a lot of applications? How effective is it from a business perspective?

BonSchlonzo (discuss • contribs) 10:42, 25 November 2020 (UTC)

Third meeting 27/11/2020
Everyone present at the meeting. After having discussed the findings of everyone's research (see below for a few extracts) we decided that our research question was too broad for a 1,200-word chapter. Therefore we took the decision to focus on a particular case study: Amazon's approach to consumer profiling as it is one of the biggest companies that use data-mining. This decision followed after a long debate, where we discussed the effectiveness of data-mining, its limits and contrasted it to anthropological market research.

Extracts of the research done by all members:

Jade:

From Chapter I: Introduction to Data Mining Osmar R. Zaïane, 1999 CMPUT690 Principles of Knowledge Discovery in Databases The concern in data mining are noisy data, missing values, static data, sparse data, dynamic data, relevance, interestingness, heterogeneity, algorithm efficiency, size and complexity of data. The data we have is often vast, and noisy, meaning that it’s imprecise and the data structure is complex. The Knowledge Discovery in Databases process comprises of a few steps leading from raw data collections to some form of new knowledge. The iterative process consists of the following steps:

1. Data cleaning: It is also known as data cleansing, it is a phase in which noise data and irrelevant data are removed from the collection.

2. Data integration: In this stage, multiple data sources, often heterogeneous, may be combined in a common source.

3. Data selection: At this step, the data relevant to the analysis is decided on and retrieved from the data collection.

4. Data transformation: also known as data consolidation, it is a phase in which the selected data is transformed into forms appropriate for the mining procedure.

5. Data mining: it is the crucial step in which clever techniques are applied to extract patterns potentially useful.

6. Pattern evaluation: in this step, strictly interesting patterns representing knowledge are identified based on given measures.

7. Knowledge representation: is the final phase in which the discovered knowledge is visually represented to the user. This essential step uses visualization techniques to help users understand and interpret the data mining results.

Additional Issues Quality quality of a process stands for the way a process meets users’ goals Accuracy Stored values should be compliant with real-world ones. • Freshness Data should not be old. •Completeness There should be no lack of information • Consistency Data representation should be uniform. • Availability Users should have easy access to data. • Traceability Data can easily be traced data back to its sources. • Clearness Data can be easily understood. • Accuracy and completeness

Shervin:

→ The study of economic decision making through a psychological lense, gives firms, organizations or just us as the society the chance to predict human behaviour and to understand the daily economic actions. Richard Thaler, the father of behavioural economics, came up with the whole concept of behaviour economics at first. https://hbr.org/2017/10/the-rise-of-behavioral-economics-and-its-influence-on-organizations

→ Came up with the idea of the nudge theory (positive reinforcement and indirect suggestions to lead consumer behaviour)

-https://www.ciim.ac.cy/how-to-use-nudge-theory-for-business-success/

the way we phrase things influences our thinking and forms our consumer behaviour 2008 Richard Thaler and Cass Sunstein

Prospect Theory: Kahneman and Tversky (1979)

Consumer Behaviour related to data mining:

https://arxiv.org/pdf/1109.1202.pdf

every single step we take if it is in the supermarket or on Amazon is considered a byte of data Consumer behaviour: Consumer behavior means the study of individuals, groups or organizations about their process of selecting, securing, using and disposing the products, services, experiences or ideas to satisfy needs and the impact of these processes on the consumer and the society. Application of consumer behaviour: 1. Making of marketing strategy, 2. Public Policy, 3. Consumer Common Sense (Purchasing Patterns etc.) Endowment effect: endowing someone with a good almost instantaneously makes him/her value it more highly. This can be thought of as a combination of reference dependence and loss aversion.

Simon:

consumer studies and anthropology - why and how consumers make their purchase decisions anthropological approach = more subjective and qualitative methods Abrams 2000: some cases quantitative analysis might not help decision makers to truly understand consumers WHILE “DESCRIPTIVE ANTHROPOLOGY” (qualitative and observational) provides revealing insights Thompson and Hirshman 1995: applied classic anthropology theories to study the consumers' self-conception of body images and self care practices in the modern urban society to help the marketers understand the relationship between consumer “socialized body” and consumption behavior. Mc Farlane: observes that when consumer reaction to a new product needs to be determined, companies traditionally refer to the qualitative method

Psychographic approach: define market segment through customer lifestyle lifestyle and demographics: age, location and gender activities, interest and opinions values, attitudes and social class: buying power / purchase orientation

Consumer Typology approach: consumers motivations and mindsets loyal consumers: rare but valuable → they promote brands through word of mouth discount consumers: buy if there is an “opportunity” impulsive consumers: emotionally driven rather than logically driven need-based consumers: fulfil a need

Consumer characteristics approach: traits that influence buying decisions convenience driven: need to be fast, simple and easy connectivity driven: feel connected through buying the sale product personalization driven: prefer a fully customized experience

Niklas:

“Data for the people” (2016) Andreas Weigend: describes the flaws of the current system of data collection and privacy but also discusses their potential. Advocates for more transparency of what is being done with our data, for people to become “data-literate” and for people to gain access to their data profiles and give them the possibility to change/blur data about them. The more data a company collects about an individual, the more targeted advertising can it bring to them. For example Alphabet collects an enormous amount of personal information through Google Maps (where you shop, work, live, what places you often visit) and this information is on a database, also accessible by Google (search) that can then give you targeted advertising according to the collected information.

source: https://books.google.co.uk/books?id=pKtVDgAAQBAJ&printsec=frontcover&dq=data+for+the+people&hl=fr&sa=X&ved=2ahUKEwjT99uh16LtAhVSXMAKHeNbCtYQ6AEwAHoECAYQAg#v=onepage&q=amazon&f=false “The Internet Encyclopedia” (2004) Hossein Bidgoli: Consumer profiling based on data mining is divided into two main categories: factual and rule-based. The factual profile is the information given by a customer by actively giving the information to the company (address, name, gender, etc) while rule-based profiles are designed after tracking and then analyzing the activity of the user on the Internet.

Looking further at the rule-based profiling, there are two steps in determining such a profile: rule-discovery and rule validation. → Agrawal et al. (1998): multidimensional indexing structure and algorithm for mining profile association rules. consumer-profiling is very closely linked to recommendation systems developed by the companies. Two common techniques in developing recommendation systems are item-to-item correlation (recommending similar items) and customer-to-customer correlation (recommending products that other customers who bought the same product, bought after that).

--Poccy3 (discuss • contribs) 17:28, 27 November 2020 (UTC)

Fourth meeting 02/12/2020
In this meeting, Simon and Jade discussed the main features of Evidence of Amazon’s consumer profiling. The main purpose of this meeting was to come together with the key point to address in the Wikibook chapter. The subject seemed again very broad and it was difficult for them to find any problem with Amazon’s algorithms. They mainly talked about how dangerous it can be for society to read the same books or buy the same products. Amazon algorithms are using a ranking system to recommend product and an uniformization of ideas could be a great way to generate profit. They realized that maybe it was better to address the issue of Amazon through the lens of Power rather than Evidence.

Fifth meeting 04/12/2020
On Friday, the whole team met on Zoom during almost 3 hours. They discussed the change of issue suggested draws their attention on Amazon monopoly in e-commerce. They come together with the new following question and main points:

To what extent should politics interfere with Amazon’s power in e-commerce?

Introduction: (200 words) Shervin

Define power of firms in economics and show why Amazon is a firm with a lot of economic power. How politics can regulate the economic market, in regards to the research question.

First part: (400 words) SIMON and SHERVIN

Show how Amazon has an unfair advantage compared to their competition. Argue that this gives Amazon a quasi-monopoly over e-commerce. Explain why monopolies are bad for economics. Define Monopoly and what a monopoly means for the economy/politics.

Second part: (400 words) NIKLAS and Jade

Discuss how wealth can be redistributed and Amazon’s economic power limited through laws and regulations. Power conflict between Regulators and Amazon. Lobbyists will try to maintain Amazons power.

Sixth meeting 08/12/2020
After a quick talk with James during our tutorial, we realised that our interdisciplinary example was not focused enough on the disciplines.So, we decide to meet again to redefine our research. You can find below the main features we agreed to discuss. As time flies, we also agreed to meet again on Friday to edit our work together.

Final research question: Why do political scientists and economists disagree on redistributive policies?

Intro (200 words) Shervin: what are redistributive policies? What kind of approaches exist? Outline its failure in the past 100 years and mention that it is getting worse. (Case Study)

Part 1 : Oppose wealth redistribution in the two disciplines (600 words) in Economics : Simon how economics approach wealth redistribution ? Main concepts → power, economic growth, how do we measure wealth redistribution? limits ? Amazon example of economist approach (they don’t pay taxes almost) in Politics : Jade concepts → equality, power restriction, can an egalitarian/equal growth exist ? policies proposed to limit Amazon with new redistributive policies

Part 2: How both can be reconciled? Is it even possible? new approach to growth (200 words) Niklas Should we privilege growth over people? Does growth = more wealth among different classes? Doughnut economics → by looking at other things than growth (for example happiness, HDI, health care etc.) we can have a more equal society Should we reconsider how we measure wealth redistribution ? Conclusion:

Seventh meeting 11/12/2020
We met again and everyone received feedback on their work. We agreed with the final version of our Introduction.We also agreed that everyone should focus more on our issue Power, and not lose the bigger picture. We also set our last meeting for next Sunday and here are the following points, we agreed to discuss for next meeting:

-conclusion where are we heading ?????

-work on titles

-check uniformity références

-write meeting 8

- post more on discussion page —> link new doc / readings.

- words count

Jadaireu (discuss • contribs) 14:44, 13 December 2020 (UTC)

Eighth meeting 13/12/2020
In our eighth meeting, we all went over our respective final versions of our paragraphs and came to agreements on phrasing, references, titles, and content.

For the conclusion, we decided to write each their own and ended up merging Simons's conclusion with mine as they complemented well.

We agreed to meet one last time on 14/12/2020, to check the last, complete version of our work, before submitting it. --Poccy3 (discuss • contribs) 20:46, 13 December 2020 (UTC)

Readings
This section brings together our most interesting readings :

===Amazon.com Recommendations === This article describes how Amazon's algorithms work. Amazon uses item-to-item collaborative filtering algorithms. In basic words, those algorithms find a set of customers who purchased and rated items and will recommend those items to similar customers.

Two main algorithms are used :

- the collaborative filtering

This algorithm assign to a customer a vector with N-dimensions. N represents the number of distinct items. In order to find the best selling items, the vector assigned will be multiplied by the inverse frequency (= inverse of the number of customers who have purchased or rated the item). As you can imagine, this method is computationally expensive. In order to process the data, we need to reduce our data set. For example, we can reduce N by eliminating some very unpopular items of the catalog. If we reduce our data size, we also reduce our recommendation quality.

- cluster model

The goal of this algorithm is to regroup people from the same interests. To do so, "cluster models divide the customer base into many segments and treat the task as a classification problem." The algorithm starts with an initial data set of segments and repeatly match customers together to obtain the optimal cluster.

===Introduction to Data Mining ===

This chapter was very helpful to understand how data we have is often noisy and hard to process. It also describes the different steps in Knowledge Discovery. A very useful process to understand how information is extracted. This method regroups 7 fundamental steps such as the data cleaning or pattern evaluation. Data Mining is one of this step and is composed of five major elements. Very briefly we first, extract and store the data. Then, we provide data access to analysts and analyze it through a specific software. The last step consists in the presentation of the data in a useful format ( graph, table,...) A variety of data sources can be mined. ( flat files, time-series files, relational databases,...)

An interesting point of this chapter was the challenging problems in data mining. Indeed, data mining raises multiples issues : Security and social issues, User interface issues, Data source issues,Performance issues,... I strongly believe that such issues need an interdisciplinary approach to be solved or at least clearer.

NB: An other problem : most algorithms assume the data to be noise-free. This is of course a strong assumption.

===The Politics of Wealth Taxes === This document showed how 'democracy has proven relatively gentle with the wealthy'( ,1). It underlined the different approach to the Politics of Wealth Taxes. It stressed the fact that citizens are misinformed about the world of taxation and how private groups in specific country (such as Britain, France, Ireland, ...) use this indifference to their advantages.

Google Docs
We shared our research through Google Docs. It was easier for us to see the progress of our work. Here is the link to our Google Docs : https://docs.google.com/document/d/1XyKnycFOmTlx83aZF7opmkoUpopARpAw_rwnu63BV2Y/edit?usp=sharing

@Everbody

Hopefully you guys will read it, but should we really leave the link for our google doc here as our google doc is more for our general notes etc. and is not really beneficial to anyone marking our essay. Please just let me know below or in our WhatsApp group so we can discuss this.

BonSchlonzo (discuss • contribs) 18:28, 12 December 2020 (UTC)

I agree Shervin, the Google Doc is very messy as well, so I'm not sure if the corrector will be able to easily navigate through that document and understand how we went from one topic to the other. I would not include it here. --Poccy3 (discuss • contribs) 21:43, 13 December 2020 (UTC)

I don't think they will check it but if they do, it won't be detrimental toward our final grade. If you want to delete the section, you can.

Jadaireu (discuss • contribs) 9:33, 14 December 2020 (UTC)

@Jadaireu & @Poccy3 I have thought about it again and came to the conclusion, that our grade will not be any reflection of our google document, therefore, I think we should actually leave it here to show which tool we used to aid our collaborative work outside of the WikiBooks page. I hope you all agree with me, this is just a very last detailed comment, which we can quickly discuss in our last meeting later on today, just before submitting.

BonSchlonzo (discuss • contribs) 12:22, 14 December 2020 (UTC)

Introduction
Hi guys, just read these two super interesting articles, which exactly relate to our issue and topic, have a read through if you like. https://eml.berkeley.edu/~saez/SaezZucman14slides.pdf https://www.un.org/esa/desa/papers/2015/wp139_2015.pdf

BonSchlonzo (discuss • contribs) 18:01, 10 December 2020 (UTC)

idea for opening question: https://www.youtube.com/watch?v=pTwPHuE_HrU American wealth inequality is staggering. A wealth tax, which would hone in on the money people actually have, rather than just the money we earn and spend, could be a solution!

Uclqevy (discuss • contribs) 18:20, 10 December 2020 (UTC)

Shervin, your articles are exactly the kind of papers that are perfect for this discussion thanks! The figure that the 85 richest individuals own as much wealth as the poorest half of the population is what struck me the most. Maybe we can start off with that in the introduction and then use the information from Simons video as a transition to show we're focussing on the US. Or should we start off immediately with the US? --Poccy3 (discuss • contribs) 17:39, 10 December 2020 (UTC)

@Poccy3, I have just uploaded the second draft of my introduction, have a look at the bottom, I have just very briefly mentioned the US as a little introduction and one quick fact about the wealth distribution in the US. I think that makes the transition easier to Simon's video.

BonSchlonzo (discuss • contribs) 19:10, 10 December 2020 (UTC)

First part
Jade for your part on the concept of wealth redistribution in politics/political science I think it could be pertinent to look at John Rawls' work, especially the justice as fairness concept, which we could use as an opposite to how rich people/ big companies are being taxed nowadays. I'm happy to try and find relevant articles if you think you have the space to include this! --Poccy3 (discuss • contribs) 02:16, 10 December 2020 (UTC)

okay i'm going to read about it today. Thank you !!! I will let you know what I think about his work Jadaireu (discuss • contribs) 10:06, 10 December 2020 (UTC)

Jade, about the meaning of wealth distribution, I think there is a way to identify a main general concept to the two disciplines which are economics and politics and then illustrate the term "growth" related to an economical perspective, and " equal distribution" to a political perspective.

Uclqevy (discuss • contribs) 14:13, 10 December 2020 (UTC)

Simon, I really like what you have written it is really concise and goes exactly towards the point we want to make. However, I just have on little suggestion, when you mention the effect of the tax and explain it in your two middle paragraphs, could you point out the issue of power a little bit more there, as I think it makes it then easier to see the real issue when reading through jade's second part of the argument.

BonSchlonzo (discuss • contribs) 19:15, 10 December 2020 (UTC)

Mr BonSchlonzo, thank you for your comment! I agree, it will improve the understanding of the orverall, the text will be better articulated.

Uclqevy (discuss • contribs) 21:22, 10 December 2020 (UTC)

Jade your paragraphs are really good and really well written but to save some space I would go straight to the second paragraph (we can probably include the first part in the intro or elsewhere) and we need to be more clear about why power is the issue between economics and politics. you could talk about the influence of journalism, public awareness, NGOs that fight for the ‘common people’ and try to mobilize people, to fight the lobbyists working for the rich. Something like how powerful political scientists are at influencing policymaking in general.

Simon, your paragraph is really good as well but to contrast it with Jade's more you could talk about lobbying first, which influences policy-making a lot. You can give examples of spending of big tech companies on lobbying (the numbers are remarkable). --Poccy3 (discuss • contribs) 11:16, 11 December 2020 (UTC)

Yes I agree Poccy3, Jade you can have a look, I deleted the Amazon example and add a final part on lobbying. Thus the transition with your political arguments could work pretty well... starting with this famous "quote". Have a look and tell me. Thank you Poccy3, for your very good remark.

Uclqevy (discuss • contribs) 18:22, 11 December 2020 (UTC)

@Poccy3 hey I read your message and i totally agree with you. we already discussed it during our morning so no need to answer for me to your message really

@uclqevy Great job ! I find your part super go straight to the essential ( aie aie I'm really losing my english). I believe taht the part on lobbying was really essential to our problem and really show the power that economists have in our society. Economists use their principles and arguments on growth to distribute wealth and implement public policies, which only benefit a small fraction of the population.so bravo !I still don't really understand the sentence " allow the concept of neutrality ". I am probably very tired but your sentences are so long (maybe put more dote )

@everybodyyy I upload my second draft. Can someone please rephrase my sentence on the American Dream ? Please tell me if I need to rewrite it. With no that much words, I just have the impression that what I wrote is just super unclear and that I missed so many interesting points to make.

Jadaireu (discuss • contribs) 19:25, 11 December 2020 (UTC)

@Jadaireu I think your part is now almost perfect, I added a few suggestions for rephrasing on the Google docs but other than that its perfect! --Poccy3 (discuss • contribs) 10:00, 12 December 2020 (UTC)

Second part
Hi Niklas,

I really like what you wrote. I can clearly see why economics and political scientists can not agree on the subject of wealth redistribution and how biased the subject of taxation is. Indeed, I also believe that governments should inform more their citizens on the use of their taxes. This part should show that the tension that exists between economists and political scientist on the subject of wealth redistribution is strongly related to the issue of Power. Maybe the word of power should be use ? Or should we link our example to Power in the conclusion ? What do you think ?

Could you also check your references ? I don't know who wrote your article for the reference 14 and as expressed in the assignement instructions, all quotes must follow the Vancouver system : https://en.wikipedia.org/wiki/Vancouver_system

I hope my feeback will help you ! I still have a lot to do to obtain the same writing quality of your paragraph :))

Jadaireu (discuss • contribs) 10:30, 10 December 2020 (UTC)

Hi Jade, thanks for the flattering words and suggestions I appreciate it! I only mentioned power at the beginning of the paragraph because my goal was to try to find common ground between the two disciplines to overcome the issue and that the conflict over power will be already clear after the first part. I still think it would be good to mention it more clearly though, so I will work on that. One little problem is that my part is already longer than what we said in the outline, so I will either have to cut smth or we need to write a shorter introduction/conclusion. Let me know what you think is the best option. --Poccy3 (discuss • contribs) 10:52, 10 December 2020 (UTC)

Hi jade, here is a proposition for the syntax of your sentence about the willignness of Americans to succeed: Americans have a strong belief in the principle of meritocracy; being rich only depends on your willingness whereas European see poverty as an economic scourge where high taxes would rebalance the injustice.

--Uclqevy (discuss • contribs) 22:44, 11 December 2020 (UTC)

@everyone As I suggested on our WhatsApp group, I will change the second part to focus on the issue of power in the process of tax regulations, since the first part brings more detail to how both our disciplines approach taxation but don't exactly point out the issue between them. Maybe the current second part can be an inspiration for the conclusion, particularly the point on doughnut economics. Lmk what you think of that!

conclusion ?
Hello everyone !

I found this quote. I think that it illustrates well how hard it is for politicians to tax big companies.

What do you think about it ??

"Either you are creating jobs or you are losing jobs. Either you are part of the economy of tomorrow or you are part of the economy of yesterday. This is a competition and for us, it’s about being part of the economy of tomorrow."(A.Cuomo,2018).

Jadaireu (discuss • contribs) 23:03, 7 December 2020 (UTC)

Hi Jade, I do agree that this quote illustrates one problem of taxing big companies (since they employ a lot of people they have a lot of economical power) but in my opinion, we should focus on potential solutions to overcome this problem in the conclusion. If there is enough space, I think this quote might be better suited for the first part. Let me know what you think! --Poccy3 (discuss • contribs) 16:33, 9 December 2020 (UTC)

Hello, Yes I agree this quote is not very relevant with our subject !!! It was mostly for our draft on Amazon's power. I'm going to delete it. I think we could find a better quote :)

Jadaireu (discuss • contribs) 9:51, 10 December 2020 (UTC)

Hey guys, in the conclusion one thing we could do is mention countries, where policy-making has gone past focussing on growth, to show that there can be a discussion between economists and political scientists that works. This article shows how New Zealand has abandoned GDP growth as its main indicator and now focuses on well-being and happiness: https://www.forbes.com/sites/jamesellsmoor/2019/07/11/new-zealand-ditches-gdp-for-happiness-and-wellbeing/?sh=2e0d0b9d1942 Do you think that would be a good way to tackle the conclusion? --Poccy3 (discuss • contribs) 21:35, 10 December 2020 (UTC)

Hi Niklas, I think its one good way to approach the conclusion, where we could also most definitely mention countries like Norway, Finland and Sweden which all follow kind of the same principle. Another idea I had was instead of still focusing just on the US, contrast two countries which handle redistribution completely differently and which may focus on other taxes which don't have such a major impact on the economy and its growth. and give some facts/stats about their economic and political goals, in order to give an idea which does better in terms of what! Here is an article I found for Norway: https://www.ecnmy.org/engage/norways-the-happiest-country-on-earth-be-more-norway/

BonSchlonzo (discuss • contribs) 11:56, 12 December 2020 (UTC)

@BonSchlonzo I completely agree with you! As we primarily focus on the effect of raising the corporate tax, we could talk about raising income tax for the super rich, bigger property taxes, or just generally that by designing taxes that target the wealth of individuals rather than their income can be more efficient and fair (because a lot of super-rich like Jeff Bezos don't earn most of their wealth through income but through other means that are even less taxed). --Poccy3 (discuss • contribs) 21:38, 13 December 2020 (UTC)

Exactly, it should be fairly easy to reflect that onto a different country maybe other than the US. If you have a look at thus link I just found which talks about proportional and progressive taxes and how they impact economic growth but also the redistribution of wealth. https://dash.harvard.edu/bitstream/handle/1/2799054/feldstein_statetaxes.pdf;jsessionid=EA044AA35497699469FF5A897E62AB44?sequence=4

BonSchlonzo (discuss • contribs) 12:08, 12 December 2020 (UTC)

Good evening BonSchlonzo and Poccy3, here is a good source from Vox to speak about a new way to tax the super rich https://www.vox.com/videos/2019/3/5/18249732/wealth-tax-better-way-rich. It seems to me a good opening on the conflict of this chapter. Uclqevy (discuss • contribs) 18:06, 12 december 2020 (UTC)

hello everyone, you might not agree with me but i think we should conclude by highlighting how our believes, the fact that some scholars take their knowledge as granted and only see the world through their own discipline can be damaging. People should more be careful with their own concepts and should challenge their perceptions of wealth.

Jadaireu (discuss • contribs) 23:03, 18:24 12 December 2020 (UTC)

@Jadaireu sorry to only get back to you now. Have a look at our final version of the conclusion and tell us if you would change anything about it! --Poccy3 (discuss • contribs) 21:38, 13 December 2020 (UTC)

For the proofreader's information, we have merged our findings into a single conclusion. Poccy3 and Uclqevy Uclqevy (discuss • contribs) 10:21, 14 December 2020 (UTC)

@Poccy3 & @Uclqevy I went through it yesterday and the conclusion is super ! Great job ! Jadaireu (discuss • contribs) 9:36, 14 December 2020 (UTC)

@Poccy3 &Uclqevy, I just went over the whole text again and I am really happy with the whole outcome, the idea we had to merge the conclusions of the both of you was important to ensure a smooth ending with the right meaning!

BonSchlonzo (discuss • contribs) 11:51, 14 December 2020 (UTC)

Very good job everyone !!! What a journey it has been :). It has been a pleasure to work with you.I remember I was going to work on the definition of gender in our society and finally, i contributed to the topic of the US corporate law, which we started as Evidence in consumer profiling. I hope that you are all happy with our final version !

Merry Christmas guys !

See you soon

Jadaireu (discuss • contribs) 11:08, 14 December 2020 (UTC)

readings?
Hi I create a section 'Readings' in our discussion page to share our most interesting readings. What do you think ? Should we also add some quotes ?

Jadaireu (discuss • contribs) 10:37, 7 December 2020 (UTC)

Hi Jade,

I like your Idea I wouldn't only add quotes and your most interesting readings, maybe just add most of your sources, so if anyone struggles to find an appropriate source, we can always come back to our readings here. Top idea, thanks.

BonSchlonzo (discuss • contribs) 16:52, 9 December 2020 (UTC)

Hi Jade, I also think the idea is really good! I will add my readings to the section and I also believe quotes can be useful to this section, if that quote illustrates well, why that reading was relevant to our research. Also, do you think it would be helpful to add other sources than readings (videos, podcasts...) or not? --Poccy3 (discuss • contribs) 16:33, 9 December 2020 (UTC)

Yes I agree guys ! We should add any type of source we came accross during our research. I believe that the purpose of the discussion page is to show the evolution of our thoughts (how we shape our ideas for the chapter) so I believe that any source that we find interesting on any subject is still valuable.

@Poccy3 Why do you think we should only put in this section the sources related to our subject ? @Jadaireu Nevermind I agree showcasing how we came to the problem of wealth distribution is actually interesting to understand how we tackled the problem! Good idea to keep the entire train of thought.

@BonSchlonzo I believe we can find every source on the reference page of our chapter. That's why, I think that it will be more relevant to put 2/3 readings or videos/podcast that helped us define our ideas or that we think are very valuable for a future project.

Jadaireu (discuss • contribs) 9:57, 10 December 2020 (UTC)

144.82.9.19
Hey everyone ! I just wanted to mention that if you see 144.82.9.19 in the discussion tab, it is me. Sometimes, I edit our wikibook and forget to log on. So no worries ! Jadaireu (discuss • contribs) 19:19, 11 December 2020 (UTC)

Ok, good to know, don't think I've seen it so far but thanks for letting us know! --Poccy3 (discuss • contribs) 20:47, 13 December 2020 (UTC)