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Record W2740452426 · doi:10.1080/14927713.2017.1355647

Enduring and situational involvement among hockey enthusiasts

2017· article· en· W2740452426 on OpenAlexaffvenue
Michael Naylor, Mark E. Havitz

Bibliographic record

VenueLeisure/Loisir · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSituational ethicsExploratory researchAffect (linguistics)PsychologyIce hockeyApplied psychologyData collectionScale (ratio)Social psychologySociologyGeographyMedicineSocial sciencePhysical medicine and rehabilitationCartographyCommunication

Abstract

fetched live from OpenAlex

Sports participants’ attitudes, usually measured based on enduring characteristics, are increasingly being examined in terms of situational nuances that affect their experience. This study is an examination of situational (SI) and enduring (EI) involvement among 195 adult male ice hockey enthusiasts. Existing EI instrumentation is utilised, as well as an SI scale developed specifically for this research. Results build on existing research from other exploratory studies that SI has an additive effect alongside EI. Further, significant differences in sport behaviour patterns were shown among groups created using EI profiles. Innovative data collection methods are discussed given the inherently intrusive nature of collecting SI data at the site of activity engagement.

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 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 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 score0.127
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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.325
Teacher spread0.275 · 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 teacher head, not a consensus.

Study designObservational
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

Citations5
Published2017
Admission routes2
Has abstractyes

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