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Género y ciudadanía en el Perú: nuevos escenarios y agendas de investigación

2022· article· es· W4283363344 on OpenAlexaff
Susan Vincent

Bibliographic record

VenueSocialium · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicGender, Violence, Rights in Latin America
Canadian institutionsSt. Francis Xavier University
FundersSvenska Forskningsrådet Formas
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La forma en que el Estado reconoce la ciudadanía con respecto a los roles de género en Perú ha estado fuera de sintonía con las prácticas reales de género. Durante la mayor parte del período transcurrido desde la colonización española, el ciudadano medio ha sido designado oficialmente o imaginado como varón heterosexual. Durante el último medio siglo, las mujeres han llegado a ocupar un papel de ciudadanía independiente de formas que las incitan a ajustarse a un modelo de moralidad materna y responsabilidad doméstica. En la economía neoextractivista actual, con la fuerte voz pública del conservadurismo social y la corrupción política arraigada, esto plantea limitaciones de comportamiento y el riesgo de endeudamiento. Muy pocos cambios de política se han dirigido a transformar los roles de género masculino o dirigirse a los ciudadanos LGBTI. Solicito más investigación sobre las implicaciones de esta situación para apoyar los movimientos que luchan por que todos los peruanos, independientemente de su identidad de género o sexualidad, vivan una vida plena.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0050.009
Scholarly communication0.0100.011
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.019
GPT teacher head0.336
Teacher spread0.317 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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