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Record W2085860358 · doi:10.1080/01490400306563

Spiritual Functions of Leisure and Spiritual Well-Being: Coping with Time Pressure

2003· article· en· W2085860358 on OpenAlexaff
Paul Heintzman, Roger C. Mannell

Bibliographic record

VenueLeisure Sciences · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of WaterlooAcadia University
Fundersnot available
KeywordsPsychologyLeisure timeCoping (psychology)Structural equation modelingSocial psychologyStyle (visual arts)Well-beingPhysical activityPsychotherapist

Abstract

fetched live from OpenAlex

The purpose of this study was to develop a model of leisure style and spiritual well-being relationships, and the processes (spiritual functions of leisure) by which leisure can influence spiritual well-being. Also, the role of leisure in ameliorating the effects of time pressure on spiritual well-being was examined. Structural equation modeling using AMOS was employed to test direct and indirect effects models of the relationships among components of leisure style (leisure activity participation, leisure motivation, and leisure time), spiritual functions of leisure (sacrilization, repression avoidance, sense of place) and spiritual well-being (both behavioral and subjective). The model developed suggests that some components of people's leisure styles lead to certain behaviors and experiences (spiritual functions of leisure) that maintain or enhance spiritual well-being. These spiritual functions of leisure may also serve as coping strategies to ameliorate the negative influence of time pressure on spiritual 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.314
Teacher spread0.289 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations146
Published2003
Admission routes1
Has abstractyes

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