About the Immigration Status of David DePape After the Attempted Murder on Paul Pelosi Dated October 28th 2022 - #How "Cancel Culture" in the United State of America (U.S.A) is Really Enabling Racism on Twitter & Elsewhere - #Michael Ayele (a.k.a) W
Bibliographic record
Abstract
In response to a public records act (PRA) request submitted in part about America’s “cancel culture,” the San Francisco Arts & Ethics Commission have denied holding conversations about [1] Elon Musk takeover of Twitter on October 28th 2022; [2] the exacerbation of (i) misinformation, (ii) extremism and (iii) hate-speech on Twitter before Elon Musk takeover of Twitter on (or around) October 28th 2022; [3] the 500% (five hundred percent) drastic increase in the frequent use of the hateful word “N****r” during the 12 (twelve) hours immediately after Elon Musk takeover of Twitter on (or around) October 28th 2022; [4] Elon Musk takeover of Twitter coinciding with the attempted murder of Paul Pelosi (in San Francisco, California) at his place of residence on (or around) October 28th 2022; [5] the arrest of David DePape for the attempted murder of Paul Pelosi at his place of residence (in San Francisco, California) on (or around) October 28th 2022; [6] David DePape as a Caucasian man, who came to the U.S.A in March 2008 as a temporary visitor from Canada; [7] the decision of the Department of Homeland Security (DHS) Immigration & Customs Enforcement (ICE) to “issue an immigration detainer on David DePape;” [8] the temporary suspension of the Association for the Advancement of Civil Liberties (AACL) website on WordPress (https://michaelayeleaacl.wordpress.com/) on the same day Elon Musk took over Twitter on (or around) October 28th 2022; [9] the reinstatement of the AACL website on WordPress (https://michaelayeleaacl.wordpress.com/) on (or around) October 30th 2022. As a matter of principle, the AACL unequivocally condemns discrimination/violence on the bases of gender, racial background, sexual orientation, national origin, religious affiliation, disability status and/or political opinion. The AACL deeply regrets “cancel culture” in America being used for the purpose of enabling (and masking) the systemic chauvinism, discrimination, misogyny, racism and sexism that is very much embedded throughout society. Be well. Take care. Keep yourselves at arms distance. Michael Ayele (a.k.a) W Anti-Racist Human Rights Activist Audio-Visual Media Analyst Anti-Propaganda Journalist
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".