Web Communications of Environmental Sustainability Initiatives at Sport Facilities Hosting Major League Soccer
Bibliographic record
Abstract
We are living in times of tremendous ecological change (Winn & Kirchgeorg, 2005). In response, the UnitedNations (UN) promotes a movement towards safeguarding the natural environment or environmentalsustainability (ES). Sport has not been immune from the challenges of ES and, thus, the guiding researchquestion of the current investigation was: How does sport communicate its participation in environmentalsustainability (ES)? To answer this research question this study focused on sport facilities that were home to aprofessional Major League Soccer (MLS) franchise during 2011; specifically, the analysis focused on thefacilities’ website communications on ES. This investigation utilized a content analysis process for datacollection that involved four steps framed with an adaptation of the design by Krippendorff (1980) and Weber(1985). Data analysis was framed with the principles of environmental performance by Glavi? and Lukman(2007) as well as ES components by Mallen and Chard (2012). The results showed that sport facilitiescommunicated a pattern towards some ES action; specifically, renewable resource use, resource minimization,and recycling were communicated as the key areas of focus for sustainability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".