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PERFIL DOS ASSISTENTES SOCIAIS DA SECRETARIA DE ESTADO DE SAÚDE DE MATO GROSSO LOTADOS NO MUNICIPIO DE CUIABÁ

2016· article· pt· W2465298375 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

VenueConnection line - Revista Eletrônica do Univag · 2016
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Political Issues
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsPhilosophy

Abstract

fetched live from OpenAlex

DOI: 10.18312/connectionline.v0i14.328 O levantamento do perfil profissional de uma determinada categoria pode oportunizar a construção de instrumentos de reflexão e direcionamentos para elaboração de políticas de gestão do trabalho e educação permanente em saúde. O presente estudo teve como objetivo identificar o perfil e área de atuação dos profissionais de Serviço Social da Secretaria Estadual de Saúde de Mato Grosso lotado no município de Cuiabá. Trata-se de uma pesquisa direta quantitativa, onde o instrumento adotado para a coleta de dados foi o questionário auto-aplicável, contendo 30 (trinta) perguntas fechadas que permitiu identificar o perfil do universo pesquisado em seus aspectos relativos a gênero, aspectos econômicos, pós graduação, tipo de vínculo, cargos e filiação partidária. Do total de 121 (cento e vinte e um) profissionais para levantamento de coleta de dados, destes 71,9% devolveram o questionário respondido, 24,8% não devolveram e 3,3% não quiseram participar da coleta de dados. Palavras-chave: Perfil; Assistente Social; SES de Mato Grosso.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.041
GPT teacher head0.334
Teacher spread0.293 · 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