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Record W4303981200 · doi:10.14201/candb.v10i115-133

Alterity, Recognition and Performance: The Queer and the Animal in Makeda Silvera’s “Caribbean Chameleon”

2021· article· en· W4303981200 on OpenAlexaboutno aff
Lidia María Cuadrado Payeras

Bibliographic record

VenueCanada and Beyond A Journal of Canadian Literary and Cultural Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
FundersUniversidad de SalamancaUniversidad Nacional de Educación a Distancia
KeywordsPerformativityAlterityFraming (construction)Gender studiesQueerRace (biology)SociologyAestheticsHistoryArtEpistemologyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This article explores notions of performativity in the story “Caribbean Chameleon,” published in Makeda Silvera’s collection Her Head a Village (1994). The story emphasises problems of performing with regards to the categories of race and gender as they pertain to the lived experience of Anglo-Caribbean migrants in Canada, a country which, in spite of its ostensible positive engagement with difference, is nevertheless still systemically hostile to migrants. Being able to adequately “perform” race or gender in a non-threatening way for the system becomes imperative for migrants, which the story highlights framing its critique of racial profiling within the conventions of the stage. This opens the door to examining the types of performativity with which “Caribbean Chameleon” engages. In this article, I discuss how notions of performance, performing and performativity interact with representations of queerness and animality, which provide and constitute modes of alterity that intersect with questions of race, gender, and (un)belonging that are raised in the story.

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)0.003
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: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0410.049
Scholarly communication0.0100.003
Open science0.0010.005
Research integrity0.0030.004
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 head0.034
GPT teacher head0.252
Teacher spread0.218 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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