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Record W4416659635 · doi:10.47854/20fm6k54

Anthropologie cubaine

2025· article· W4416659635 on OpenAlexvenueno aff
Kali Argyriadis, Niurka Núñez González

Bibliographic record

VenueAnthropen · 2025
Typearticle
Language
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsRestitutionObject (grammar)CannibalismSocial life

Abstract

fetched live from OpenAlex

L’histoire de l'anthropologie cubaine, à la fois ancienne, riche et méconnue, a longtemps été façonnée en lien étroit avec l'engagement social et politique de ses auteurs. A partir du XIXème siècle et des premiers combats indépendantistes, puis des révolutions qui ont marqué le XXème siècle, l'anthropologie physique, la criminologie, l'étude du folklore, puis l'ethnographie se sont penchées sur l'étude de phénomènes locaux et de populations se trouvant aux marges de la Nation. Anthropologie « de soi », visant à accompagner les processus de construction nationale en contexte créole, l'anthropologie cubaine a forgé des outils conceptuels et méthodologiques originaux ; elle a aussi expérimenté des formes inédites de restitution et d'écriture, à la croisée de l'histoire, de la littérature, des arts plastiques, du chant et de la performance chorégraphique.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.355
Threshold uncertainty score0.706

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.004
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.003

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 head0.056
GPT teacher head0.435
Teacher spread0.379 · 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
Published2025
Admission routes1
Has abstractyes

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