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Record W4210356585 · doi:10.33137/cq.v6i2.36951

Limits to Recognition: The Trinidadian State and Its Indigenous Population

2022· article· en· W4210356585 on OpenAlexaffvenue
Adam Rudder

Bibliographic record

VenueCaribbean Quilt · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndigenousCreole languageNationalismColonialismPopulationState (computer science)PoliticsNarrativeIndependence (probability theory)Government (linguistics)Political scienceEthnologyPolitical economySociologyGeographyDevelopment economicsLawEcologyDemography

Abstract

fetched live from OpenAlex

One prevalent issue regarding the enfranchisement of Indigenous communities within the politics of the Caribbean includes the idea that such communities cease to exist. Though the impact of European colonization in the region proved to be destructive to Indigenous ways of life, this impact was far from exterminatory, and Caribbean govern- ments and authorities who argue the contrary base their testimony upon groundless claims. This paper analyses the actions of Trinidad and Tobago’s post-independence government in curating a nationalist discourse based on the histories of its Afro-Creole population, and how that discourse was ultimately founded on a complete disregard for the country’s Indigenous population. The paper first delves into the colonial extinction narratives that have served to restrain Trinidad’s Indigenous community, then it investi- gates various biological and historical evidence that prove Indigenous diffusion beyond the limits outlined in extinction narratives. Finally, Trinidad’s Afro-Creole-based nation- alism is explored to gain insight on how such an ethnically-driven nationalism has hindered the concerns of Trinidad’s overall Indigenous community.

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)0.003
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 score0.365
Threshold uncertainty score0.725

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.015
Scholarly communication0.0080.003
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.287
Teacher spread0.246 · 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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