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Record W2523838823 · doi:10.1080/17533171.2016.1223613

“Apartheid in a parka”? Roots and longevity of the Canada–South Africa comparison

2016· article· en· W2523838823 on OpenAlexafffundabout
Simonne Horwitz

Bibliographic record

VenueSafundi · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsUniversity of Saskatchewan
FundersIndigenous and Northern Affairs CanadaMinistry of Economy, Trade and Industry
KeywordsOppressionContext (archaeology)Face (sociological concept)Foundation (evidence)Public policyPolitical sciencePolitical economySociologyHistoryPoliticsSocial scienceLaw

Abstract

fetched live from OpenAlex

Comparisons between Aboriginal policy in Canada and apartheid in South Africa appear frequently in public discourse, often with claims of actual links between the two systems. This paper interrogates these supposed links, using an analysis of land policy and the pass system in each country to demonstrate the improbability of the claims of direct influences. The paper then goes on to analyze the intellectual history of these comparisons, asking why they have been, and continue to be, made by many different actors in the face of a lack of historical evidence. The paper argues that the claims have served the needs of many different groups in different ways and thus maintained a hold despite their lack of historical foundation. However, good policy must be founded on clear analysis of history, and this paper argues that it is important to de-link South Africa and Canada, and understand oppression in each context on its own terms.

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)0.004
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 score0.059
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0170.011
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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

Citations5
Published2016
Admission routes3
Has abstractyes

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