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Record W7078869195 · doi:10.18716/ojs/gefo/2010.3184

Cultural Bastards: Caribbean-Canadian Humor in Shani Mootoo's Out on Main Street

2025· article· en· W7078869195 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitäts- und Stadtbibliothek Köln · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualityIdentity (music)DiasporaReading (process)ShamePoetryWife

Abstract

fetched live from OpenAlex

Wife battering and murdering, prostitution and suicide have long been hushed incidences that nevertheless have finally been addressed by some Indo-Caribbean writers, one of which is the Canada-based artist and writer Shani Mootoo. In her novels Cereus Blooms at Night, He Drown She in the Sea, and Valmiki’s Daughter, her poetry collection The Predicament of Or, and her short story collection Out on Main Street, Mootoo picks up the culturally specific ways of inscribing a culture of violence and shame onto Indo-Caribbean female sexual identities in ways that Mehta has described as being "associated with a series of taboos and restrictions imposed by male-ordered strategies of confinement and inhibition" (192). Even while living in Canada, Mootoo exemplifies Mehta's claim that Indo-Caribbean women find it difficult to free themselves – and the works they produce – from the haunting national and diasporic legacies of repression and invisibility. A reading of Mootoo's work as an example of the interlacing of sexuality and diasporic Caribbean identity reveals that a reconfiguration of "home" in terms of optional exile does not erase one's innate ethics, but actually magnifies them, since diasporic communities like the Indo-Caribbean tend to maintain their "cultural identity through migrating notions of gender-role conformity" (Mehta 209). "Shut your arse up, before it have trouble between we in this street." (V. S. Naipaul, Miguel Street)

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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.

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
Published2025
Admission routes1
Has abstractyes

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