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La inclusión de la perspectiva de la sociedad civil popular en VIH/SIDA: sistematización de experiencias como enfermera en Brasil y Canadá

2011· article· es· W2132800521 on OpenAlexaff
Hélène Laperrière

Bibliographic record

VenueSaúde e Sociedade · 2011
Typearticle
Languagees
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesHuman immunodeficiency virus (HIV)Political scienceMedicineArtFamily medicine

Abstract

fetched live from OpenAlex

La enfermera en Salud Pública tiene como misión movilizar las organizaciones de base de su país para implantar los programas de salud. Este trabajo implica un acercamiento que le permita captar el detalle de la realidad concreta, pero que sólo una cierta distancia crítica le permitirá situarlo en un contexto de significación global. Una sistematización de experiencias presenta la investigación evaluable comunitaria como una oportunidad metodológica para las ciencias de la salud en general y de enfermería. La perspectiva es especialmente pertinente para las prácticas profesionales de salud, específicamente en contextos imprevisibles y de conflictos de verticalidad sociopolítica entre los diversos actores implicados en un programa de salud pública. La inclusión en barrios periféricos y el trabajo con grupos comunitarios favorece la inclusión desde el punto de vista de la sociedad civil popular dentro de la evaluación de las acciones preventivas del Sida y de otros programas de salud pública.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.066
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0140.009
Scholarly communication0.0060.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.039
GPT teacher head0.403
Teacher spread0.364 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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