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THE RELATIONSHIP BETWEEN OCCUPATIONAL STRESSORS AND COPING STRATEGIES IN NURSING TECHNICIANS

2016· article· en· W2567500671 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

VenueTexto & Contexto - Enfermagem · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStressorCronbach's alphaCoping (psychology)Descriptive statisticsPsychologyOccupational stressNursingDescriptive researchExploratory researchNursing researchClinical psychologyMedicinePsychometrics

Abstract

fetched live from OpenAlex

ABSTRACT This is a quantitative, descriptive and exploratory research, with cross-sectional design that investigated the stressors experienced by nursing technicians working in general hospital and identified the coping strategies most used by them. The sample contained 310 participants. A sociodemographic questionnaire and the Ways of Coping Scale were used. For the analysis we used descriptive statistics and calculated the Cronbach's alpha. 60% of professionals used the strategies focused on the problem; 57.4% attributed their stress to working conditions, 26.8% to relationships in the workplace, 5.5% to the lack of reward at work and only 0.6% to problems personal. We conclude that strategies focused on the problems were the most used, indicating an approximation of the stressor in order to fix it. The identified stressors indicate the need for planning, stimulating and recognizing nursing professionals.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.585
GPT teacher head0.599
Teacher spread0.014 · 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