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Record W4385775977 · doi:10.5281/zenodo.8238783

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

2023· article· en· W4385775977 on OpenAlexaboutno aff
Michael Ayele

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationState (computer science)Culture of the United StatesCriminologyHistorySociologyPolitical scienceEconomic historyGerontologyLawMedicine

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.027
GPT teacher head0.254
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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