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Record W4295165752 · doi:10.1353/his.2019.0121

“Jamaican” as Synecdoche forBlack Male Identification:Performing Blackness in Toronto

2022· article· en· W4295165752 on OpenAlexvenueaboutno aff
Andrea Davis

Bibliographic record

VenueHistoire sociale · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeGender studiesAgency (philosophy)SociologyMasculinitySign (mathematics)RacismIdentity (music)PoliticsResistance (ecology)Political scienceAestheticsArtLaw

Abstract

fetched live from OpenAlex

Findings from youth focus groups in Jamaica and Canada between spring and summer 2013 elucidate the ways in which the construction of Jamaican masculinity is both deployed and challenged by Black youth in Toronto. In Toronto, where Jamaicans make up the largest share of Black communities, Jamaica and Jamaicanness are made to stand in for a homogenous Blackness that satisfies two competing desires. On the one hand, “Jamaican,” as a powerful sign of cultural difference, is used to entrench racist discursive narratives that collapse Blackness into a fixed and fearsome category. On the other hand, Black youth of various cultural backgrounds deploy Jamaica and Jamaicanness as modes of community and resistance, even as they challenge efforts to collapse their racialized intersectional differences into a Black nonparticularity. Black youth thus unsettle the city’s racist narrative by centring modes of identity formation grounded in their own political agency and practices of survival.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0290.010
Scholarly communication0.0040.001
Open science0.0010.005
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 head0.015
GPT teacher head0.285
Teacher spread0.270 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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