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Record W2077045135 · doi:10.1080/16184741003774521

Environmental Sustainability in Sport Facility Management: A Delphi Study

2010· article· en· W2077045135 on OpenAlexaff
Cheryl Mallen, Lorne J. Adams, Julie Stevens, Lauren Thompson

Bibliographic record

VenueEuropean Sport Management Quarterly · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsBrock University
Fundersnot available
KeywordsSustainabilityDelphi methodFacility managementDelphiValue (mathematics)Sport managementField (mathematics)Public relationsBusinessSociologyPsychologyPolitical scienceKnowledge managementMarketingComputer science

Abstract

fetched live from OpenAlex

This Delphi study examines environmental sustainability (ES) in sport facility management. The study includes three questionnaire iterations with 31 expert participants from 16 major North American sport facilities. The results reveal the state of sport facility ES, including the reported value, financial support, best practices, challenges and delineated competencies for students seeking to enter the field. In addition, emerging trends are discussed based on a vision of ES in the sport facility industry by the year 2015. The results of this study are applied to sport management education in an effort to guide educators to initiate classroom discussions and debates that can shape discourse on ES. It is hoped that this discourse can provide insights, assumptions, values, options, theory and foster the development of student competencies for ES.

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)0.030
metaresearch head score (Gemma)0.033
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.003
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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

Citations103
Published2010
Admission routes1
Has abstractyes

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