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Discovering popular education in professional community health care practices

2007· article· en· W2083223776 on OpenAlex
Hélène Laperrière

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

VenueTexto & Contexto - Enfermagem · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsExperiential learningPovertyConsciousnessPower (physics)Health careNurse educationNursingSociologyHealth educationInequalityPsychologyPedagogyPublic relationsMedicinePublic healthPolitical science

Abstract

fetched live from OpenAlex

Exploring the relationship between popular education and health care as regards to public and community health nursing, a case is made that popular education is more than a pedagogical approach to teaching. Following an inductive strategy, experiential vignettes of the author’s practices and commitments in impoverished Brazilian populations are systematized to identify contributions of popular education in health care. Experiential learning leads to a preferential option for the poor, a reduction of power inequalities between program agents and the people, the use of Observe-Judge-Act methodology and a theory that is realistic in terms of possible changes of consciousness. Popular education fosters both the emergence of tacit nursing care actions and includes those of voiceless populations living in poverty.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.000

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 head0.515
GPT teacher head0.632
Teacher spread0.117 · 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