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Record W4250936961 · doi:10.22329/p.v13i1.5926

Editorial Introduction

2019· article· es· W4250936961 on OpenAlexaffvenue
John Paul Duncan

Bibliographic record

VenuePhaenEx · 2019
Typearticle
Languagees
FieldArts and Humanities
TopicNorth African History and Literature
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

We begin with Dan Wood's extensive study: "Fanon and the Underside of Commodity Fetishism."Locating his work in relation to critiques of the relation between modern European thought and its relationship with imperialism and colonialism, Wood argues that Fanon's account of practices involving the veil, the radio, and medicine in revolutionary Algeria both corroborate, and advance the Marxian theory of commodity fetishism.In A Dying Colonialism, Wood argues, Fanon stretches Marx's theory of commodity fetishism and provides a way to overcome the disjunction between what some call mere identity politics, on the one hand, and real politics, on the other hand.Fanon shows how the colonial and imperial situation as such independently intensifies commodity fetishism,

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score0.810

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.002
Scholarly communication0.0070.004
Open science0.0020.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.2420.107

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 head0.006
GPT teacher head0.192
Teacher spread0.187 · 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.

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

Citations1
Published2019
Admission routes2
Has abstractyes

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