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Record W1628320207

Modelo de doble proceso sobre el "síndrome de quemarse por el trabajo" (burnout): su relevancia en profesionales de enfermería de España y Canada

2007· article· es· W1628320207 on OpenAlexaboutno aff
Michael P. Leiter, Santiago Gascón, Begoña Martínez‐Jarreta

Bibliographic record

VenueInformació psicològica/Informació psicològica · 2007
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologySociologyPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

El objetivo de este estudio es explorar un modelo de doble proceso sobre el sindrome de quemarse por el trabajo (SQT) (burnout). La muestra estuvo formada por profesionales de enfermeria espanoles (N = 834) y canadienses (N = 725), que rellenaron un cuestionario para evaluar el SQT y percepciones de su vida laboral. Un proceso hipotetiza que la sobrecarga laboral agota a las profesionales de enfermeria debido al exceso de demandas y a que interfiere en su capacidad de recuperacion. Segun el segundo modelo los conflictos entre los valores personales y organizacionales tienen efectos que influyen en el desarrollo del SQT. Se realizaron analisis de regresion multiple para analizar los dos procesos del SQT. La sobrecarga predijo los niveles el agotamiento, y la congruencia entre valores personales y organizacionales resulto un predictor significativo de las tres dimensiones del SQT explicando mayores porcentajes de varianza a los explicados por la sobrecarga laboral. Se obtuvo evidencia para ambos procesos en las dos muestras. En la discusion se presentan las implicaciones para un modelo comprehensivo sobre el SQT.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0040.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.353
Teacher spread0.333 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2007
Admission routes1
Has abstractyes

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