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A Short-term Longitudinal Analysis of Leisure Coping Used by Police and Emergency Response Service Workers

2002· article· en· W1614008152 on OpenAlex
Yoshi Iwasaki, Roger C. Mannell, Bryan Smale, Janice Butcher

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

VenueJournal of Leisure Research · 2002
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of WaterlooUniversity of Manitoba
Fundersnot available
KeywordsCoping (psychology)Term (time)PsychologyService (business)Applied psychologySocial psychologyBusinessMarketingClinical psychology

Abstract

fetched live from OpenAlex

Despite the growth of leisure coping research, an important yet neglected idea is whether or not and how leisure contributes to coping with stress above and beyond the effects of general coping; that is, coping not directly associated with leisure (e.g., problem-focused coping). The purpose of the present study was to examine the contributions of leisure to coping with stress and maintaining good physical and mental health among workers of police and emergency response services when the effects of general coping were taken into account. According to hierarchical regression analyses, leisure coping showed a positive relationship with both short-term and longer-term outcomes of stress and coping above and beyond the contributions of general coping. It is worth emphasizing that mental health was significantly predicted only by leisure coping, not by general coping. The use of leisure for enhancing mood and facilitating palliative coping was found to significantly predict coping effectiveness, satisfaction with coping, and stress reduction. The facilitation of palliative coping and companionship through leisure was related to good mental health, whereas high leisure empowerment was associated with better physical health. Implications of the findings and future research perspectives on leisure coping are discussed.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.159
GPT teacher head0.442
Teacher spread0.283 · 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