[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 |
|---|---|---|
| 43.666666666666664 | yass.o#0 | for her seeming unending patience in herding all the cats for the swiss association incorporation meeting |
| 41.0 | sem(🌸,🐝)#0161 | for making and improving the Giveth AI bots which is going to be an epic suppor ttool for giveth |
| 41.0 | NicoBals#2154 | for having an excellent buddy review call! It was a valuable opportunity to reflect on and appreciate his outstanding contributions in HR and contributor support. Additionally, I commend him for being receptive to critical feedback and demonstrating a genuine willingness to improve and acknowledge areas for growth. I'm grateful to have such a dedicated and self-aware teammate like Nico by my side! |
| 36.666666666666664 | NicoBals#2154 | for always being on top of Giveth admin and more! |
| 36.666666666666664 | Cori#8483 | for taking time during the Comms call to check in on the teams use of ChatGPT and continue the efforts of incorporating more AI tools into the content creation and SEO strategy... essentially increasing our output and productivity as a small team |
| 36.666666666666664 | Sohobiit#2746 | for getting a project verified for the Giveth AMbassador Program. |
| 34.0 | whyldwanderer#0 | for helping me every single day w/ an abundance of questions from "how do we verify projects" to "which meme is better" to "does this copy make sense". she is always there for me to provide sanity checks and I don't praise her nearly enough! |
| 34.0 | Cori#8483 | for leading the comms strategy call & putting together a comprehsive notion doc w/ many ideas on how we can improve giveth comms to become more data driven and overall more f |
| 29.666666666666668 | freshelle#0 | for providing so much support to WG Stewards in the process of formulating WG structure, budget and proposals. Setting up a weekly office hours call to facilitate a smooth reorganization through SubDAOification process. |
| 29.666666666666668 | makkiyzy#9575 | for getting more active in teh community, taking initiative to reach out for tasks and taking on his first comms issue! |
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 315 praises, 36 (11.43%) 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 315 praises, 2 (0.63%) 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.