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Record W7011079875

Le Brésil rattrapé par les piliers de l’éthno‐racialisation des sciences : le séculaire négationniste des sciences humaines et sociales

2022· article· fr· W7011079875 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repository of the University of Granada (University of Granada) · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicRace, Identity, and Education in Brazil
Canadian institutionsnot available
Fundersnot available
KeywordsHuman scienceContext (archaeology)African studiesIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

À partir du XIXe siècle, la révolution industrielle a permis l’émergence et la consolidation des sciences humaines et sociales dans le monde occidental pour légitimer « scientifiquement » la supériorité presque divine du Blanc et de ses pratiques culturelles grâce aux travaux d’éminents scientifiques euro-américains. Le négationnisme de ce fait est une culture politique, idéologique, académique et théologique pour légitimer l’exceptionnalité divine et sacrée du blanc. Notre réflexion prétend analyser certains des grands moments des mouvements politiques et politisés, aussi bien au Brésil qu’à l’échelle transcontinentale et trans-ethnique, comment des, Noir-e-s, des métis, indien-ne-s et certains blancs ré-humanisés ont fait du rejet du négationnisme des sciences leurs piliers de lutte politique, académique, culturelle et spirituelle au nom de l’humanité, de l’humanisme et de la démocratie plus inclusive. C’est pourquoi notre analyse tournera autour des impacts positifs du régime post-apartheid de Nelson Mandela dans les démocratiques ethnicisées ; les effets négatifs de l’institutionnalisation de la culture du négationnisme par l’État brésilien et finalement comment ce même État a été le principal et le premier garant du déni du brésilien noir.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualmedium
gptScience and technology studies
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.3800.381
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 head0.061
GPT teacher head0.263
Teacher spread0.202 · 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

Labeled directly by 2 models reading the full record.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical · Other

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 routes1
Has abstractyes

Explore more

Same venueInstitutional Repository of the University of Granada (University of Granada)Same topicRace, Identity, and Education in BrazilCategoryScience and technology studiesFrench-language works237,207