[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Unzipping corpora/stopwords.zip.
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
Avg. score | To | Reason |
---|---|---|
72.0 | mateodaza#3156 | for developing the great new convert dashboard - https://convert.tecommons.org/ |
47.75 | GideonRo#3175 | For reviving the TEC Labs as an interest group! |
41.25 | Nuggan#5183 | for the new TEC´s ABC advanced page! It looks amazing |
39.25 | r-x-x#8344 | for bringing at least one extra dimension to TEC, but probably more than anything else for bringing hands on direction and energy, but still very much in a democratic and decentralised way. It's a tough balance to find, and TEC are very lucky to have found him here and willing to pitch in. |
39.25 | r-x-x#8344 | for exploring new and better ways to distribute Praise rewards in an equitable way, taxation schemes, bonuses and whatnot. Being able to adjust Praise rewards based on other forms of rewards will be key for large scale Praise adoption. |
36.35 | mateodaza#3156 | for the deployment of the ABC advanced page. Looks so cool!! |
33.6 | r-x-x#8344 | for taking the time to propose a well thought out proposal for changing the way we distribute rewards to contributors and non-contributors, it was a great proposal and I am always inspired by his eagerness to create technical, anayltics driven solutions |
32.75 | bear100#9085 | for their drive in fleshing out a roadmap for the TEC for the next year |
30.35 | r-x-x#8344 | constantly improving our Discord experience - the regoganization of our channels and role selection. You've done and are doing such terrific work. |
28.88 | Nuggan#5183 | for the ABC advanced page. I spent some time on it today and really love how clear and informed it is! |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 83 praises, 19 (22.89%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 83 praises, 1 (1.20%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.