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Pescadoras: subordinação de gênero e empoderamento

2012· article· pt· W2129144297 on OpenAlexfundno aff
Maria Cristina Maneschy, Deis Siqueira, Maria Luzia Miranda Álvares

Bibliographic record

VenueRevista Estudos Feministas · 2012
Typearticle
Languagept
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
FundersInstitute of Social and Economic Research, Memorial University of NewfoundlandMemorial University of Newfoundland
KeywordsHumanitiesSociologyGender studiesContext (archaeology)Political scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

Cresce o número de estudos abordando o setor pesqueiro sob uma perspectiva de gênero, indicando que esse é fundamental para se entender como mulheres e homens participam da pesca e vivenciam os riscos ligados às recentes mudanças do setor. Contudo, políticas setoriais ainda têm dificuldade em incorporar a dimensão de gênero. Este texto evidencia dois argumentos principais. Primeiro, o silêncio sobre a questão feminina articula-se à situação de vulnerabilidade, característica de grande parte das comunidades pesqueiras, em países no "norte" e no "sul". Segundo, movimentos de mulheres pescadoras têm contribuído para questionar o status quo e inscrevê-las em políticas de empoderamento, sobretudo no que toca a espaços e direitos sociais. Ao mesmo tempo, esses movimentos buscam recuperar a capacidade que sistemas locais comunitários de gestão de recursos naturais têm demonstrado de adaptação à complexidade socioambiental e de respeito ao protagonismo feminino. O processo de empoderamento não é linear, mas complexo e marcado por contradições.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0040.009
Scholarly communication0.0080.007
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.271
Teacher spread0.252 · 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 designQualitative
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

Citations22
Published2012
Admission routes1
Has abstractyes

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Same venueRevista Estudos FeministasSame topicCoastal and Marine ManagementFrench-language works237,207