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Record W256069327 · doi:10.5206/cie-eci.v38i1.9125

Indigenous Education for Cultural Survival: The Makushi Amerindians of Guyana

2009· article· en· W256069327 on OpenAlexaffvenue
Christine Wihak

Bibliographic record

VenueComparative and International Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsPolitical scienceIndigenousHumanitiesEthnologySociologyArt

Abstract

fetched live from OpenAlex

The survival of Indigenous cultures is essential to a sustainable future for the planet as a whole. This paper focuses on the educational efforts being made by the Makushi people of inland Guyana to maintain their culture and language in the face of encroaching development. The paper relates the discussion of the Makushi situation and their educational responses to the development challenges in the small states of the Caribbean. Descriptive information is provided concerning the Makushi’s efforts, which include initiatives in elementary and secondary education, post-secondary training, and community education. Regardless of the venue, a collective vision of Makushi cultural survival guides their development of educational programs. La survie des cultures indigènes est essentielle à un avenir durable pour l’ensemble de la planète. Ce travail met l’accent sur les efforts éducatifs faits par le peuple Makushi en Guyane intérieure afin de maintenir leur culture ainsi que leur langue face au développement d’empiétement. Le travail se rapporte à la discussion de la situation du peuple Makushi et leurs réponses éducatives aux défis du développement dans les petits états des Caraïbes. Les renseignements descriptifs sont fournis concernant les efforts du peuple Makushi, ce qui inclut des initiatives dans l’enseignement élémentaire, l’enseignement secondaire, la formation post-secondaire, et l’éducation communautaire. Indépendamment du lieu, une vision collective de la survie culturelle du peuple Makushi oriente leur développement des programmes éducatifs.

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 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 score0.779
Threshold uncertainty score0.234

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 head0.112
GPT teacher head0.445
Teacher spread0.333 · 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.

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

Citations5
Published2009
Admission routes2
Has abstractyes

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