This is America: Black Cis Men Never Held Accountable for Selling Out Black Pain for White Pleasure
Bibliographic record
Abstract
WHITE CIS MEN HAVE COMMITTED MORE MASS SHOOTINGS IN THE US THAN ANY OTHER GROUP...but I'm sleep.Black people are murdered and it's an idea for a storyboard for a rap music video without a trigger warning. Black people are not paying attention, while the world continues to kill us. We only pay attention when black cis men tell us to. Listen to them. Black cis men know what we need. And we should listen. They are geniuses. They win Pulitzers for their music without having to reckon with the misogynoir conveniently overlooked to get them there. And slavery was a choice. But, just hear him out. And he's the King so he doesn't give head. But he is not really Black, so it's different. We spend hours talking through our pain from being re-traumatized and he \\"just wanted to make good music\\". He could care less that people actually died. But but they are just destroying a Black man's legacy. He got his money And will continue toAnd we will sit by and watch him dance On the tvNever at a rally And keep giving him money for the value of his meta distractionWe get tired of calling him in He doesn't listen Why talk. He's talking. Just let him speak! Just a body on his way to fame To the white girl across the room We are just a body To be usedAt the cookout on 4th of July At his leisure Our pain is a joke And a moment,Not happening all the time. Join us for another episode of Hoodrat to Headwrap as we distract you from black cis men centering whiteness again (are you entertained?).Recommended Reading: Barracoon, The Story of the Last Black Cargo by Zora Neale Hurston, an anthropologist and ethnographic blerd. Read this article from 2018 to better understand DJ Khaled's tweets in 2015: https://www.nytimes.com/2018/04/24/world/canada/incel-reddit-meaning-rebellion.htmlEpisode sponsored by The Pleasure Chesthttps://thepleasurechest.com/educator-picks
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.574 | 0.069 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".