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Record W2061814834 · doi:10.1080/14927713.2008.9651404

A Delphi study of trends in special and inclusive recreation

2008· article· en· W2061814834 on OpenAlexvenueno aff
David R. Austin, Youngkhill Lee, Deborah A. Getz

Bibliographic record

VenueLeisure/Loisir · 2008
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationInclusion (mineral)Delphi methodSpecial educationDelphiPsychologySpecial needsMedical educationPedagogyGeographyPolitical scienceSocial psychologyMedicineComputer science

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to ascertain special and inclusive recreation trends as identified by practitioners and educators in this type of recreation. The study employed a modified Delphi technique that utilized a list of trends and asked experts to evaluate and rate each based upon their individual experiences. A total of 25 jurors (median age = 45.9; 15 female and 10 male; 19 practitioners and 6 educators) participated in the study. Jurors rated 46 trends identified by the researchers and identified an additional 20 trends to be evaluated. The numbers of jurors for rounds one through four were 25,24,25, and 24, respectively. The results of this study pointed toward a promising future for special and inclusive recreation. Particularly noteworthy is that inclusive recreation appears to be becoming more widely embraced than in previous years. Reflective of a growing inclusive recreation movement are trends related to inclusion as an approach to programs and services and increased continuing education efforts in the area of inclusive recreation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.047
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.334
Teacher spread0.296 · 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.

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

Citations10
Published2008
Admission routes1
Has abstractyes

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