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Record W1977483332 · doi:10.1080/16184740903460488

The Assessment of the Environmental Performance of an International Multi-Sport Event

2010· article· en· W1977483332 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Sport Management Quarterly · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsCanadian Sleep SocietyBrock University
Fundersnot available
KeywordsEvent (particle physics)SustainabilityEvent managementBusinessMarketingPublic relationsProcess managementPsychologyEnvironmental resource managementPolitical scienceCritical success factorEconomics

Abstract

fetched live from OpenAlex

ABSTRACT Despite recent calls to reduce the environmental impact of major sporting events, comprehensive measurements, evaluations, and reports on environmental sustainability (ES) within the sport sector are rare. Consequently, the purpose of this multi-method case study was to assess the environmental performance (EP) of an international multi-sport event. Survey and interview data were collected from 15 event managers and executive volunteers (N=15). The findings indicated the event organization demonstrated a high level of effort towards initiating an ES movement within the Games but ultimately achieved a weak to moderate level of EP. Further, structural, systemic and cultural organization barriers prevented the implementation of many ES policies and programs. Sport event EP success is contingent upon organizers understanding both the operational reality in which they must stage the event, and their strategic capability to fulfill this goal.

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.

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)0.002
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 score0.219
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.286
Teacher spread0.276 · 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