MétaCan
Menu
Back to cohort
Record W2352708196

Golf Play and Serious Leisure

2011· article· en· W2352708196 on OpenAlexaboutno aff
Xinhui Wang

Bibliographic record

VenueJournal of Guangzhou Sport University · 2011
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingLeisure activityEthosAction (physics)PsychologyIdentity (music)Social psychologyLeisure studiesRecreationAestheticsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In the United States,golf is a favorite leisure activity for many people;many golf enthusiasts enjoy this leisure activity but often with a serious attitude and their actual action.This study is dependent on the theoretical framework of Serious Leisure,developed in 1982 by Stebbins,a Canadian scholar;utilizing qualitative research to survey individual experiences and feelings of 20 subjects who were from Cedar Falls and Waterloo,in the state of Iowa,USA;the focus of this study is on six aspects of serious leisure theory which include perseverance,a leisure career,considerable personal effort,durable benefits,unique ethos,and identity formation.The purpose of this study is to probe why golf enthusiasts prefer this activity which can be enjoyed for many years and whether their individual feelings and experiences match with the six characteristics of serious leisure,as well as regarded as a serious leisure activity,and how the golf affects one's health and life quality.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.236
Teacher spread0.214 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Guangzhou Sport UniversitySame topicRecreation, Leisure, Wilderness ManagementFrench-language works237,207