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Health education and its theoretical perspectives: a few reflections

2013· article· en· W2134284764 on OpenAlexaboutno aff
Maria Aparecida Salci, Priscila Maceno, Soraia Geraldo Rozza, Denise Maria Guerreiro Vieira da Silva, Astrid Eggert Boehs, Ivonete Teresinha Schülter Buss Heidemann

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsReflexivityHealth promotionHealth educationEmpowermentPremiseTheme (computing)SociologyHealth carePublic relationsOrder (exchange)NursingPedagogyEpistemologyMedicinePolitical scienceSocial sciencePublic healthComputer scienceBusiness

Abstract

fetched live from OpenAlex

The purpose of this study was to reflect theoretically on the theme of health education and how it interfaces with health promotion. It consists of a theoretical-reflexive study aimed at comparing these practices to the concepts elaborated in the Letter of Ottawa, the pedagogy of liberation of Paulo Freire, empowerment and culture, here comprehended as key elements guiding the activity of the nurse in health education in actions performed by health services. In order to take this reflexive path, the authors analyzed the interrelationships of these theoretical interfaces and their approaches to health promotion practices. From this presented theoretical framework, it is possible to reflect on the possibilities of extending care, based on the premise that all moments comprising interaction with patients of health services must be considered an opportunity to develop health education actions, considering the knowledge of nurses characterized as social actors who are responsible for the events that take place in the health scenario.

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)0.014
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0110.036
Scholarly communication0.0140.015
Open science0.0030.010
Research integrity0.0070.015
Insufficient payload (model declined to judge)0.0050.001

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 head0.426
GPT teacher head0.595
Teacher spread0.169 · 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 designTheoretical or conceptual
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

Citations76
Published2013
Admission routes1
Has abstractyes

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