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Record W4213080464 · doi:10.1079/tourism.2022.0012

A Leisure Professional Association’s Structural Change, to Remain Relevant to its Members as well as in its Support of the Profession – Part 1

2022· article· en· W4213080464 on OpenAlexaboutno aff
Jana Joy James, Melissa S. Weddell

Bibliographic record

VenueTourism Cases · 2022
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationExcellenceSkylineAssociation (psychology)Logo (programming language)Professional associationTourismPublic relationsSociologyPolitical scienceGeographyPsychologyArchaeologyLaw

Abstract

fetched live from OpenAlex

Abstract North Carolina Recreation and Park Association (NCRPA), a leisure and recreation professional association, recognized its need to transition from a traditional professional association model to a new model that engaged members and professionals in the field, provided opportunities for volunteer involvement that are short and long-term, and become relevant in a fast-changing world. VIU logo WLCE logo Information A publication of Vancouver Island University World Leisure Centre of Excellence Main image: City skyline of Charlotte North Carolina from Marshall Park (iStock) © J. Joy James and Melissa S. Weddell 2016

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)0.008
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.032
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.011
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0220.003

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 head0.032
GPT teacher head0.343
Teacher spread0.311 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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