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Record W2524808085 · doi:10.6018/eglobal.15.4.228761

Estresse ocupacional e estratégias de enfrentamento entre profissionais de enfermagem em ambiente hospitalar

2016· article· es· W2524808085 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnfermería Global · 2016
Typearticle
Languagees
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

El objetivo del estudio fue analizar el estrés laboral y las estrategias de afrontamiento utilizadas por técnicos y auxiliares de enfermería de un hospital universitario, así como su asociación con variables sociodemográficas. <br /><br />Método: Estudio transversal con una muestra aleatoria de 310 técnicos y auxiliares de enfermería. Para la evaluación del estrés laboral y las estrategias de afrontamiento se aplicó la Job Stress Scale y la Escala Modos de Enfrentamiento de Problemas. La muestra se compone de una mayoría de mujeres, con una edad media de 47,1 años, casadas o en pareja, auxiliares de enfermería, con único vínculo de empleo y que tuvieron trabajo en el último año. Estuvieron altamente expuestas al estrés laboral 17,1% de la muestra. <br /><br />Resultados: Las estrategias centradas en el problema resultaron ser protectoras en relación al estrés. <br /><br />Conclusiones: Esta manera de hacer frente a los factores de estrés en el hospital se puede trabajar de manera optimizada entre los profesionales.<br /><br />

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.004

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 head0.032
GPT teacher head0.411
Teacher spread0.379 · 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