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Record W4390062803 · doi:10.53660/clm-2646-23u47

A preliminary analysis of the emergency protective measures granted to migrant women in the context of sheltering in the city of Boa Vista-RR

2023· article· en· W4390062803 on OpenAlexaff
Francilene dos Santos Rodrigues, Martha Klivia de Luna Torres, Luziene Correa Parnaíba, Vanessa Palácio Boson, María Nohemí González Martínez, Maria Soledade Garcia Benedetti

Bibliographic record

VenueConcilium · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Health, and Social Inequality
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsContext (archaeology)Exploratory analysisCriminologyPower (physics)Exploratory researchState (computer science)SociologyState of emergencyPolitical scienceGender studiesGeographySocioeconomicsLawSocial science

Abstract

fetched live from OpenAlex

This article aims to address violence against migrants and the implementation of emergency protective measures granted to Venezuelan women in a sheltering context in Boa Vista-RR. The research has an exploratory character and the data collection procedures were predominantly bibliographic and documentary. In the recent Venezuelan exodus, female migration has been gaining prominence in the state of Roraima, one of the most lethal for women. However, women in situations of mobility and shelter are more susceptible to suffering violence due to their multiple vulnerabilities. Those who are sheltered, despite the protection system in shelters, are also exposed to family violence. Thus, gender violence as a social issue is systemic and linked to the practices of power and male domination, typical of patriarchal logic.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.105
GPT teacher head0.366
Teacher spread0.262 · 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 designObservational
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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