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TOMA DE DECISIONES EN SALUD EN MUJERES CUIDADORAS INFORMALES

2005· article· es· W1655353170 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCiencia y enfermería/Ciencia y enfermería · 2005
Typearticle
Languagees
FieldHealth Professions
TopicNursing care and research
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Estudio descriptivo y transversal que se propuso conocer las características biosociodemográficas y los determinantes de la toma de decisiones en salud de las mujeres cuidadoras informales del sector urbano de la comuna de Hualqui, Chile. Las muestra accidental fue de 55 mujeres (62% del universo), a las cuales se les aplicaron dos instrumentos: cuestionario para recolectar antecedentes biosociodemográficos y un cuestionario de valoración de necesidades de apoyo decisional a nivel poblacional basado en el Modelo de Ottawa de O’Connors. Para la tabulación de los datos y análisis descriptivo se utilizó SPSS. Los principales resultados fueron: el cuidado informal lo realizan mujeres entre 41 y 64 años, con educación básica incompleta, que sostienen en un 43% enfermedades crónicas; sus principales conflictos decisionales respecto a salud se refieren a seguir o no conductas curativas y preventivas por la necesidad de estar bien para cuidar a otros

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)0.007
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0040.002
Scholarly communication0.0010.002
Open science0.0040.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.011

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 head0.452
Teacher spread0.413 · 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