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Brasil, Canadá e a integração de políticas de gênero a partir da Plataforma de Ação de Pequim

2012· article· pt· W596985879 on OpenAlexaboutno aff
Cynthia Mara Miranda

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceState (computer science)Order (exchange)Public policyWork (physics)Welfare economicsBusinessComputer scienceEconomicsEngineering

Abstract

fetched live from OpenAlex

The integration of gender integration in the State, or “gender main streaming”, is a public management innovation, which comes from an intense mobilization of feminist movements, as well as from the United Nations-UN, in several countries in the world. In order to understand the current feminist point of view about the integration of gender policies, this work conducts a comparative study, giving emphasis to Brazil and Canada. From the discussion about the answers given by the Brazilian and Canadian governments, related to the women’s demands, this article aims to present the current challenges so that the search for gender equalities becomes effective practices put into action by the State, with an aim to change the status of the women in the these countries.

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)0.004
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 score0.049
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.003
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.151
GPT teacher head0.421
Teacher spread0.270 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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