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Record W4384212282 · doi:10.7202/1098412ar

Peuples indigènes et la pandémie au Brésil

2023· article· fr· W4384212282 on OpenAlexvenueno aff
Manoel Prado Júnior

Bibliographic record

VenueSens public · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArtPolitical science

Abstract

fetched live from OpenAlex

Cet essai présente un bref aperçu des problèmes auxquels sont confrontés les peuples indigènes pour garantir leurs droits au Brésil. D'un point de vue temporel, on peut constater que les peuples indigènes ont souffert de difficultés dans la réalisation de leurs droits fondamentaux pendant des décennies, une situation qui a été considérablement aggravée par la pandémie actuelle. Il est entendu que la récupération de cette histoire de violations, ainsi que l'histoire de la mobilisation autour de leurs droits, est fondamentale pour comprendre les dimensions des impacts actuels.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.053
GPT teacher head0.337
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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