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Record W2069176408 · doi:10.1108/13620430610683070

Workaholism, organizational life and well‐being of Norwegian nursing staff

2006· article· en· W2069176408 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

VenueCareer Development International · 2006
Typearticle
Languageen
FieldPsychology
TopicWorkaholism, burnout, and well-being
Canadian institutionsYork University
Fundersnot available
KeywordsGeneralizability theoryNorwegianPsychologyPersonalityJob satisfactionBurnoutBig Five personality traitsMultilevel modelNursingApplied psychologySocial psychologyClinical psychologyMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

Purpose The purpose of this study is to examine the relationship of individual difference personality characteristics (Big Five, generalized self‐efficacy), workaholism components and work life factors on measures of job satisfaction, burnout and health complaints. Design/methodology/approach Data were gathered from 496 nursing staff caring for terminally ill patients in five health care facilities in Norway using questionnaires. Findings Hierarchical regression analyses, controlling for personal demographic and work setting characteristics, indicated strong relationships of particular Big Five personality factors, workaholism components and work life factors with both job satisfaction and burnout; health complaints were only predicted by personality factors. Practical implications Future research must examine the generalizability of these findings to other samples in different countries. Implications for management and organizations are offered. Originality/value This paper contributes to the understanding of personality factors to workaholics in work outcomes and well‐being.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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