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Record W4210347802 · doi:10.4000/hispanismes.13254

Leda Rios, une intellectuelle brésilienne

2021· article· fr· W4210347802 on OpenAlexaboutno aff
María Teresa Salgado

Bibliographic record

VenueHispanismeS · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Nous allons discuter la place du corps métis féminin dans la société brésilienne au début du xxe siècle. Nous nous intéressons ici à présenter l’histoire de Leda Rios et à mener les premières enquêtes sur les barrières que cette poète métisse a rencontrées lorsqu’ elle a commencé sa carrière. Leda Rios a travaillé dans la presse brésilienne au cours des deux premières décennies du xxe siècle. Après avoir publié plusieurs articles et chroniques, ainsi que deux livres de poésie et aussi des pièces de théâtre, l’écrivaine – jeune talent qui a débuté comme poète à l’âge de seize ans – abandonne l’écriture, au plus fort de sa production, à trente ans. Malgré la reconnaissance de son œuvre à l'époque de sa vie d’écrivaine, Leda Rios a été effacée de l'histoire littéraire brésilienne. On ne trouve que des traces de sa vie littéraire à la Bibliothèque Nationale de Rio. Nous désirons enquêter à propos des obstacles rencontrés au cours de la période de la Belle Époque brésilienne, tels que le racisme qui a émergé avec force à ce moment-là, cherchant à définir des rôles sociaux.

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)0.002
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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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 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
Published2021
Admission routes1
Has abstractyes

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