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Record W7033548309

Relación entre la alexitimia y las respuestas psicológicas de duelo ante la pérdida de la salud en mujeres con cáncer

2015· other· es· W7033548309 on OpenAlexaboutno aff

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2015
Typeother
Languagees
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingScale (ratio)Set (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

"La alexitimia no ha sido estudiada en relación con las respuestas de duelo de Kübler-Ross. Esta investigación tiene como objetivos estudiar la asociación y predecir las respuestas psicológicas de duelo con alexitimia, religiosidad, escolaridad e ingreso económico. A una muestra no probabilística de 120 mujeres con cáncer se les aplicó la escala de respuestas psicológicas de duelo ante la pérdida de la salud y la escala de alexitimia de Toronto. La alexitimia predijo mayor reacción de afecto negativo con tamaño de efecto grande, pero fue independiente de actitud positiva. Menor ingreso económico predijo mayor actitud positiva con tamaño de efecto mediano. Convicción religiosa predijo mayor actitud positiva con tamaño de efecto pequeño. Aunque práctica religiosa tuvo mayor relación que convicción religiosa, ofreció peor ajuste. Se concluye que las variables estudiadas tienen efectos significativos sobre las respuestas psicológicas de duelo."

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.247
Teacher spread0.231 · 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 designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

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