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Record W2078010519 · doi:10.1353/can.0.0309

'Rising Strongly and Rapidly': The Universal Negro Improvement Association in Canada, 1919–1940

2010· article· fr· W2078010519 on OpenAlexvenueaboutno aff
Carla Marano

Bibliographic record

VenueCanadian Historical Review · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)HistoryPolitical scienceDemographyAncient historyGenealogyPsychologySociology

Abstract

fetched live from OpenAlex

Cet article présente l'histoire du Garveyism et de l'Universal Negro Improvement Association ( unia ) au Canada de 1919 à 1940. Créé et dirigé par Marcus Garvey, d'origine jamaïcaine, ce mouvement pour les droits civiques s'est répandu partout dans le monde et a encouragé ses partisans à réaliser le rêve d'une nation noire indépendante en Afrique. L' unia a été présentée à grande échelle comme un phénomène de l'Amérique ou des Caraïbes. Mais le présent article apporte la preuve que l' unia a joué un rôle de premier plan dans la vie de bon nombre de Noirs au Canada, particulièrement des immigrants antillais. Cette étude fait valoir que ces derniers forment la vaste majorité des membres de l' unia au Canada, et qu'ils ont utilisé cette organisation comme moyen de créer et d'exprimer une identité ethno-raciale unique. On explique comment certains liens communs chez les Antillais, y compris un taux élevé d'alphabétisation, de l'expérience en organisation syndicale, et une solide conscience panafricaine, les ont rendus plus enclins à se joindre à l' unia que les immigrants afro-américains et les Noirs nés au Canada. Ces caractéristiques communes font maintenant partie du tissu d'une identité antillaise distincte qu'ils ont fait valoir en tant que leaders, organisateurs, et participants à l' unia

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.105
Threshold uncertainty score0.762

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0240.008
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.205
Teacher spread0.195 · 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
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

Citations15
Published2010
Admission routes2
Has abstractyes

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Same venueCanadian Historical ReviewSame topicCanadian Identity and HistoryFrench-language works237,207