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Record W3016451319 · doi:10.1177/0020702020917179

“A marathon, not a sprint”: Canada and South African apartheid, 1987–1990

2020· article· en· W3016451319 on OpenAlexaffabout
Daniel Manulak

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsWestern University
Fundersnot available
KeywordsCommonwealthGovernment (linguistics)Political scienceHuman rightsPolitical economyDevelopment economicsLawSociologyEconomics

Abstract

fetched live from OpenAlex

In 2020, Canada does not maintain diplomatic ties with Iran or Saudi Arabia partly owing to their human rights violations—a choice which has eroded its capacity to act meaningfully in these countries. Thirty years ago, the Brian Mulroney government was faced with a similar decision: to sever relations with the white minority regime in South Africa or use its limited but real influence to contribute constructively to an end to apartheid. This article examines how Canada “punched above its weight” on an issue seemingly peripheral to its national interests from 1987 to 1990. It was during these oft-overlooked years—South Africa’s “darkest days”—that Canada engaged through multilateral fora, bilaterally, and its embassy to sustain global pressure and attention on apartheid. In so doing, the Mulroney government became a diplomatic battleground between its major allies, Pretoria, and its African Commonwealth partners. Such efforts were not without costs, but Canada’s “advanced middling” role helped to bring about a peaceful transition towards majority rule in South Africa and thus holds contemporary lessons for policymakers.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.553
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.308
Teacher spread0.285 · 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 teacher head, 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

Citations3
Published2020
Admission routes2
Has abstractyes

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