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Record W24437378 · doi:10.1021/ja4076277

Abducting Black Bodies: Little B's of North America and Caribbean

2003· article· en· W24437378 on OpenAlexaff
Aaron Kamugisha

Bibliographic record

VenueProudflesh · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsYork University
Fundersnot available
KeywordsEmancipationDreamMetaphorAllegoryCivilizationExtension (predicate logic)ArchetypeHistoryHegemonyLiteratureSociologyPhilosophyArtArt historyPsychologyLawArchaeologyTheologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

What would it mean to speak of the history of Blacks in the Americas as a determined struggle against a hegemonic process of abduction? What could it mean to speak of the abduction systems of Western civilization? In part, this is similar to a question posed by Saidiya Hartman, how does one tell the story of an elusive emancipation and a travestied freedom?, but with certain crucial differences. This idea of abduction immediately raises the spectre of that forced movement of Africans across the Atlantic, abduction on the grandest scale in human history, to be sure. It also reminds us of Gregory Batesons definition of abduction systems as the lateral extension of abstract components of description. Metaphor, dream, parable, allegory, the whole of art, the whole of science, the whole of religion, the whole of poetry, totemism the organization of facts in comparative anatomy all these are instances or aggregates of instances of abduction, within the human mental sphere.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.597
Threshold uncertainty score0.801

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.002

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 head0.022
GPT teacher head0.272
Teacher spread0.250 · 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 designNot applicable
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
Published2003
Admission routes1
Has abstractyes

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