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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

The industrial revolution allowed, from the 19th century on ward, the emergence and consolidation of human and social sciences in order to scientifically legitimize the nearly–divine superiority of the White Man along with his cultural practices due to the productions of Euro-American scientific authorities. The denial of this facts a political, ideological, academic, and theological culture to legitimize the godly and sacred exceptionality of the white Man. Our aim is to analyse some important events of some political parties in Brazil and worldwide, showing how Blacks, Mixed-bloods, Indians, and a few re-humanized white men used the refusal of the denial of sciences their pillars of political, academic, cultural, and spiritual weapon to fight in the name of humanity, humanism, and democracy for all. That’s the reason why our analysis will lay emphasis on the consequences of Nelson Mandela’s post-apartheid regime up on ethnicized democracies; the negative effects of institutionalizing the culture of denial by the Brazilian state; and finally: how that same state has been the main and first responsible of ignoring the black Brazilian.

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 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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.021
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.026
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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