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Record W4289826820 · doi:10.1079/tourism.2022.0027

A Leisure Professional Association Creating an Action Plan for Change: Part 2

2022· article· en· W4289826820 on OpenAlexaboutno aff
Melissa S. Weddell, Jana Joy James

Bibliographic record

VenueTourism Cases · 2022
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationExcellencePublic relationsProfessional associationManagementPolitical scienceRelevance (law)Law

Abstract

fetched live from OpenAlex

Abstract In 2016 North Carolina Recreation and Parks Association (NCRPA), a leisure and recreation professional association, implemented an organizational change with the hopes of becoming more relevant and vital to recreation professionals. James and Weddell documented the initial process leading to organizational change. The NCRPA Board president tasked an Ad Hoc committee to read the book, “Race for Relevance” (2011) and make recommendations to revitalize the organization. For more details on the beginning process, see James and Weddell’s case study “A Leisure Professional Association’s Structural Change, to Remain Relevant to its Members as well as in its Support of the Profession – Part 1”. Organizational change includes more than making recommendations to a board and having a unanimous board vote to implement the recommendations. Once the vote passed, the real work began. This case study continues the investigation by describing the implementation process of the recommendations leading to NCRPA organizational revitalization for 2017. The main players of innovation included the NCRPA Executive Director, its Board President, and the Executive Board as well as several committees appointed by the President. NCRPA continued to use the book “Race for Relevance” (2011) as a primer to change, requiring each committee member to read the book to understand the impact of the changes and future decisions. VIU logo WLCE logo Information Vancouver Island University World Leisure Centre of Excellence © Melissa Weddell and Jana Joy James 2018

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.998

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.138
GPT teacher head0.394
Teacher spread0.256 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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