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Record W2014489272 · doi:10.1080/02533950708628765

Race-Making/Race-Mixing: St. Helena and the South Atlantic World

2007· article· en· W2014489272 on OpenAlexaff
Daniel Yon

Bibliographic record

VenueSocial Dynamics · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsRace (biology)Context (archaeology)Atlantic WorldMixing (physics)Gender studiesImmigrationHistoryGeographyEthnologySociologyArchaeologyAncient history

Abstract

fetched live from OpenAlex

This paper focuses on the South Atlantic Oceanic World, and the pivotal place of the Island of St. Helena within that world, as both a context and a conceptual tool for thinking about race-making and race-mixing in South Africa. Drawing on various historical ‘snapshots’ from documentary and archival sources on St. Helena, as well as from exploratory fieldwork in South Africa, St. Helena, an Atlantic World of flux and fluidity, is invoked as a contrast to an Apartheid world that insists upon fixity. These contrasting worlds are the context for thinking about the racial identifications made by St. Helenian immigrants, and their descendants in South Africa. Following Robert Young the paper is interested in ‘counter-active’ constructions of race, which means that the context of race-mixing that this paper invokes is simultaneously a context for race-making.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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 designQualitative
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

Citations21
Published2007
Admission routes1
Has abstractyes

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