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Vivências de mulheres com diagnóstico de doença sexualmente transmissível - DST

2007· article· pt· W2076059467 on OpenAlexaff
Maria Alix Leite Araújo, Cláudia Bastos da Silveira

Bibliographic record

VenueEscola Anna Nery · 2007
Typearticle
Languagept
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicinePhysicsGynecology

Abstract

fetched live from OpenAlex

As doenças sexualmente transmissíveis (DSTs) constituem problema de saúde pública em virtude da sua alta ocorrência. Nas mulheres, o controle é um desafio devido às implicações sociais e de gênero. Esse estudo objetiva conhecer como as mulheres vivenciam o diagnóstico de uma DST e as repercussões da revelação desse diagnóstico ao parceiro sexual. Estudo exploratório-descritivo desenvolvido em uma unidade de saúde de referência para DST de Fortaleza-Ceará. A coleta de dados foi realizada nos meses de fevereiro e março de 2006 e analisada em duas categorias: vivências das mulheres com o diagnóstico da DST e repercussões da revelação do diagnóstico da DST ao parceiro sexual. Constatou-se que a ocorrência de uma DST resulta em impacto negativo para as mulheres em relação ao convívio social e ao relacionamento com o parceiro sexual. O aconselhamento desempenha papel fundamental para redução do estresse. Os serviços de saúde devem valorizar os aspectos emocionais relacionados ao diagnóstico da DST, visando contribuir com a melhoria da qualidade de vida das mulheres e na abordagem do parceiro.

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)0.007
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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.040
GPT teacher head0.384
Teacher spread0.345 · 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

Citations17
Published2007
Admission routes1
Has abstractyes

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