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Record W2323612225 · doi:10.4322/cto.2012.025

Entre o empenho, o acolhimento e a impotência: dilemas de agentes comunitárias de saúde na produção do cuidado e da humanização

2012· article· pt· W2323612225 on OpenAlexaff
Renata Bellenzani, Rúbia de Fátima Mendes

Bibliographic record

VenueCadernos de Terapia Ocupacional da UFSCar · 2012
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsSexuality Education Resource Centre
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

The "Family Health" Strategy (Estratégia de Saúde da Família) extends the doctor-centered model to the team model.Conversations between health workers and users are valued by the National Policy of Humanization (Plano Nacional de Humanização -PNH).The practices and concepts of 41 agents on personal and collective engagement in humanized care were investigated in six health services in a municipality in the State of Mato Grosso do Sul.The content analysis showed that agents oscillate between effort and impotence, because they cannot provide full care to patients, especially when techniques, procedures, and coordination of actions by the management are demanded.The implementation of the National Policy of Humanization, cross-sectional to the "Family Health" Strategy, is fundamental to the local quality of the Public Health Service (SUS); it affects the real possibilities of humanization, the sustainability of agents' engagement in care, and the health service subjectivity.Managers must care about the perceptions and expressions of helplessness and frustration from workers, taking them as indicative of structural and process problems that should to be managed.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.014
Scholarly communication0.0080.004
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.069
GPT teacher head0.396
Teacher spread0.327 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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