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Record W2793792622 · doi:10.1080/07053436.2018.1438124

Canada-based peer-reviewed leisure studies research: From the 1970s to today

2018· article· en· W2793792622 on OpenAlexaffvenueabout
George Karlis, Aida Stratas, Evan Webb

Bibliographic record

VenueLoisir et Société / Society and Leisure · 2018
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRecreationLeisure studiesMilestoneThematic analysisPeer reviewPsychologyGerontologyPublic relationsLibrary scienceQualitative researchMedical educationSociologySocial scienceMedicinePolitical scienceGeography

Abstract

fetched live from OpenAlex

As Society and Leisure/Société et Loisir celebrates its milestone 40-year anniversary, the authors of this paper have set out to present a comprehensive overview of Canada-based peer-reviewed leisure studies research, dating back to the 1970s when the first Canadian peer-reviewed leisure studies journal issue was published in Canada. Through a detailed content analysis of the three Canadian peer-reviewed leisure studies journals – Leisure/Loisir, Society and Leisure, and the Journal of Leisurability – that have existed in Canada, four specific areas have been explored: (1) quantity of research articles published; (2) number of published authors affiliated with a Canadian university; (3) research methods employed using content analysis; and (4) thematic patterns in subject areas. The results revealed that (1) 532 Canada-based peer-reviewed articles were published (excluding position papers or opinion pieces, commentary articles, research summaries, and book reviews) in Canadian peer-reviewed journals since the 1970s; (2) 967 of the identified authors were based in Canada; (3) most Canada-based published research was quantitative, although from 2010 to present, qualitative research papers have outnumbered quantitative research papers; and (4) eight dominant thematic categories – outdoor recreation, youth and adolescent development, management of recreational services and facilities, municipal and community recreation, inclusive and/or therapeutic recreation for people with disabilities, health and wellness, leisure and aging, and leisure preferences/user patterns – occurred most often.

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)0.004
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.148
GPT teacher head0.442
Teacher spread0.294 · 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 designNot applicable
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
Published2018
Admission routes3
Has abstractyes

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