[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Package stopwords is already up-to-date!
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 |
---|---|---|
82.0 | liviade#1387 | for her Stakeholder Study presentation in Eth Barcelona! I loved it |
63.6666666666667 | brichis | for their work on the Optimism Growth Grant for the TEC! |
48.0 | gideonro#0 | for putting together a future roadmap for the TEC. The future of TEC and the merger with the TE Academy will help the field of TE significantly. Mad praise. |
43.6666666666667 | liviade#1387 | for all her hard work and leadership in driving the TE Stakeholder Study. This will be a huge accomplishment for the commons and we will all learn a great deal from its results. |
41.0 | liviade#1387 | for their hard work in pulling together an excellent Optimism Growth Grant for the TEC. |
36.6666666666667 | gideonro#0 | extemplary leadership, long term vision and compassion for yourself and those around you. Truly an inspiration to myself and I know may more. |
36.6666666666667 | 0xr3x | for updating the TEC Dune Dashboard to fix the tribute amount... DYK that over $300,000 were raised by the TEC in Tributes to advance TE!!! |
32.3333333333333 | Isaac (enti)#1546 | for his buying staked ETH proposal and vigilence in keeping the TEC treasury safe |
29.6666666666667 | gideonro#0 | for their work on the Optimism Growth Grant for the TEC! |
27.0 | Tamarandom#9361 | for their hard work in pulling together an excellent Optimism Growth Grant for the TEC. |
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 151 praises, 42 (27.81%) 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 151 praises, 0 (0.00%) 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.