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Record W2158248201 · doi:10.1080/00223980209604158

Police Officer Job Satisfaction in Relation to Mood, Well-Being, and Alcohol Consumption

2002· article· en· W2158248201 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

VenueThe Journal of Psychology · 2002
Typearticle
Languageen
FieldPsychology
TopicGrit, Self-Efficacy, and Motivation
Canadian institutionsLakehead University
Fundersnot available
KeywordsPsychologyOfficerJob satisfactionMoodRelation (database)Alcohol consumptionSocial psychologyConsumption (sociology)Applied psychologyClinical psychologyAlcoholSociologyPolitical science

Abstract

fetched live from OpenAlex

The authors examined job satisfaction, job stress, and thoughts of quitting in relation to positive and negative affect, life satisfaction, self-esteem, and alcohol consumption among police officers. Exploratory and confirmatory factor analyses revealed that 2 dimensions, positive affect and negative affect, provided a clear family-tree organizational framework for representing the otherwise confusing pattern of associations between job and well-being variables. Job satisfaction was primarily associated with positive affect, life satisfaction, and self-esteem; job stress was primarily associated with negative affect and alcohol consumption; thoughts of quitting had moderate loadings on both factors. The 2-dimensional framework may prove useful as a guide in reviewing research in this field and in selecting constructs and measures for inclusion in future research.

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)0.000
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 score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.044
GPT teacher head0.350
Teacher spread0.306 · 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