[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 |
|---|---|---|
| 114.33333333333331 | griffgreen#0 | for helping to ensure all of Giveth Galaxy was known to the Optimism badgeholders |
| 107.33333333333331 | griffgreen#0 | for his awesome AI April initiative. I am so stoked ⭐⭐⭐ |
| 84.66666666666667 | divine_comedian#0 | for hosting the discussion around subdaoificaiton and herding all of the cats through the process of dismantling our current structure to make way for a new way of organizing our working groups and proposing each product initiative so that we can be mindful about budget and resources in the future. I can't imagine it will be an easy task to complete and Mitch has stepped up to make sure that we keep putting one foot in front of the other to reach the finish line. |
| 82.0 | sem(🌸,🐝)#0161 | for using chatgpt to translate all of giveth into catalan in mere hours! and for making a system that allows us to translate any language we want! |
| 77.66666666666667 | cuidadopeligro#0 | for putting so much work into the rewards team and defining the process for distribution. The first distribution is nearly ready after compiling months of data, coordinating quantification, creating the first subdao with its own budget, and doing it all with a smile. |
| 73.33333333333333 | divine_comedian#0 | for all their hard work on this minting party and all the items around it. Lets get digital art famous gents! |
| 70.66666666666667 | geleeroyale#0 | For working on incidents on our production backend |
| 70.66666666666667 | santibcn#0 | for the hard work getting PFP out the door! SO EXCITED THAT MINTING IS OPEN |
| 63.666666666666664 | giantkin#0 | for also being a discord superstar. Need a new subchannel, done. Have questions about crazy AI bots, done. Want to just chat with a great person, done! |
| 63.666666666666664 | alireza7612#0 | for working so quickly on the pfp collection dapp integration! They made such amazing progress in just one week, it looks almost finished :) |
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.
/usr/local/lib/python3.9/site-packages/numpy/lib/function_base.py:2691: RuntimeWarning: invalid value encountered in true_divide /usr/local/lib/python3.9/site-packages/numpy/lib/function_base.py:2692: RuntimeWarning: invalid value encountered in true_divide
Among 491 praises, 114 (23.08%) 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 491 praises, 8 (1.62%) 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.