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O trabalho dos Agentes Comunitários de Saúde à luz da Teoria Comunidades de Prática

2021· article· pt· W2963321300 on OpenAlexaff
Raquel de Castro Alves Nepomuceno, Ivana Cristina de Holanda Cunha Barrêto, Amanda Cavalcante Frota, Kelen Gomes Ribeiro, Ana Ecilda Lima Ellery, Francisco Antônio Loiola, Luiz Odorico Monteiro de Andrade

Bibliographic record

VenueCiência & Saúde Coletiva · 2021
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSociologyHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

The work of Community Health Workers (ACS) was analyzed in light of Communities of Practice (CP) theory. This is a qualitative cross-sectional study carried out in four municipalities in Ceará. Six focus groups and six interviews were carried out with 45 Community Health Workers (ACS), observing ethical aspects. The data corpus was analyzed using the content analysis technique. The results show that ACS participation in the ESF is marked by experience in the community, and the main focus is monitoring priority groups. The practices put them before the diverse social and family complexities, generating reflections and building new meanings for themselves and their work process. The ACS CPs engage and share challenges and unique learning from work, characterized by close contact and relationships with the families of the territory, which reveals needs hardly perceived by other ESF professionals. The meaning of being ACS as one who listens, embraces, and perceives the needs of families invisible to services, is evident in the reification processes. The ACS better exercise their role as ESF articulators in the territories the greater the spaces for dialogue between them, the other team members, and management.

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 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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0080.002

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 head0.059
GPT teacher head0.388
Teacher spread0.329 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations12
Published2021
Admission routes1
Has abstractyes

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