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Record W4362451031 · doi:10.29173/cons29498

You Are Whatever I Say You Are:

2023· article· en· W4362451031 on OpenAlexaffvenue
Robin Palsky

Bibliographic record

VenueConstellations · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStatus quoWhite (mutation)Dominance (genetics)Property (philosophy)Power (physics)White supremacySociologyGender studiesPolitical economyCriminologyEnvironmental ethicsPolitical scienceLawRacismEpistemologyBiology

Abstract

fetched live from OpenAlex

This article analyzes the fluidity of Black identities created, maintained, and destroyed by white plantation holders to maintain white supremacy and economic advantages. It argues that as wealth began to flow from plantations, the identities of enslaved individuals morphed. From heathen, ‘brutish,’ wild peoples needing to be controlled to chattel property able to be manipulated and bred, to rebels and fugitives whose actions justified violence to maintain white dominance and economic status quo. This article seeks to demonstrate how contemporary Black identities within the greater society continue to be influenced by religious and codified identities enacted by white men in power. It asks us to critically engage with how we are implicit in enforcing specific identities onto Black bodies. Through this analysis, the link between wild heathens and violent criminals within societal perceptions can be illustrated.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.006
Scholarly communication0.0040.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.006

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 head0.049
GPT teacher head0.310
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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 routes2
Has abstractyes

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