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Impacto da Residência de Medicina da Família e Comunidade no Atendimento a Mulheres Vítimas de Violência

2019· article· pt· W2939984742 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Cereus · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsImpact
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

The residency programs should guarantee means of learning and applicability within the scope of the SUS and promote improvements in comprehensive care, especially for women victims of violence. Objective: to evaluate the quality of AB services in relation to violence against women in the municipality of Gurupi-TO. A cross-sectional survey was carried out from December 2017 to February 2018 in 12 UBS of the urban network. The health professionals answered the QualiAB questionnaire, and the questions dealing with the evaluation of violence against women were extracted. The data of the UBS with the program were compared with those without, by means of the chi-square test, in the program EPI INFO 3.2.2. 107 professionals answered the questionnaire. In the question "Diagnosis and monitoring of situations of domestic and sexual violence", there was no difference between the groups, but the indicators "strategies used by the unit for detection" and "procedures performed in case of detection of violence against women" are better in the units with program. It is concluded that this research showed that the residence program as a SUS policy contributes to improve the quality of the service to attend violence against women in an effective and resolutive way to SUS users.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.007

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 head0.033
GPT teacher head0.349
Teacher spread0.316 · 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