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Record W2947238733 · doi:10.1215/01636545-7323420

Boycotts and Revolution

2019· article· en· W2947238733 on OpenAlexaboutno aff
Michael Bueckert

Bibliographic record

VenueRadical History Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsDivestmentPolitical scienceSanctionsReputationPosition (finance)Civil societyPolitical economyLawPublic administrationSociologyPoliticsBusiness

Abstract

fetched live from OpenAlex

Abstract This article explores the debates in Canada over the call for Boycotts, Divestment, and Sanctions (BDS) against apartheid South Africa, and demonstrates how the African National Congress (ANC) became a significant reference point for both supporters and critics of the anti-apartheid movement. Through close engagement with Canadian civil society, the ANC built its status as the exclusive voice of South Africans, a position that allowed it to influence the movement’s demands, including its support for armed struggle. Friends of South Africa, unable or unwilling to defend apartheid itself, instead focused their efforts on demonizing and delegitimizing the ANC as terrorists and agents of the Soviet Union—but this failed to significantly damage the reputation of the ANC or weaken the call for boycotts. This article is based on extensive new archival research from sources including the Canadian Mission of the ANC and the Canadian-South African Society (an affiliate of the South Africa Foundation).

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)0.003
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.495
Threshold uncertainty score0.984

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0140.030
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0120.001

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 head0.025
GPT teacher head0.267
Teacher spread0.241 · 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
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

Citations6
Published2019
Admission routes1
Has abstractyes

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