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Record W4210367829 · doi:10.33137/cq.v6i1.37019

Linguistic Representations of Black Characters in Cuban Fiction of the New Millennium

2022· article· en· W4210367829 on OpenAlex
Catia Dignard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCaribbean Quilt · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNarrativeSubversionLiteratureSlangDecadenceScholarshipHistoryAestheticsArtLinguisticsPoliticsPhilosophyPolitical science

Abstract

fetched live from OpenAlex

If scholarship has focused on the return to the stereotypical portrayals of black characters during the 1990s, and that were common to the pre-revolutionary era, what had not yet been addressed is how differentiating linguistic traits (manner of speech) have been used to represent black characters in more recent Cuban fiction, a narrative strategy that goes back to colonial times. Apart from conveying “authenticity” (i.e. the details of the Havana slang) when building fictional characters, such a literary device, I contend, was also a way to emphasise the Island’s socioeconomic and cultural decadence or “involution” during this decade of economic upheaval. Since the second decade of the new millennium, other voices, namely from the Caribbean side of the Island, have emerged and imposed themselves in fiction, leading me to explore the other levels of significance of this narrative strategy. What follows is a tale about continuity and subversion.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.025
GPT teacher head0.290
Teacher spread0.265 · 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