Environmental Sustainability and the National Hockey League: A Review of the Seven Canadian Teams
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.
Bibliographic record
Abstract
Environmentalists consistently note that the way we live and work is having devastating impacts on the environment, and immediate change is required if the planet is to be saved. Legislation is being enacted to force industries and companies to change their business practices so the impact of their programs and services is less damaging to the environment. Some organizations, including professional sports teams and facilities, have implemented environmentally friendly programs and practices to reduce their environmental impact. They have subsequently celebrated these developments as part of their corporate social responsibility (CSR) and corporate environmental responsibility (CER) programs. The researchers reviewed the programs and practices of the seven National Hockey League (NHL) teams based in Canada and, based on these assessments, offered suggestions for improvement based on the best practices of teams and facilities from other sports and facilities across the globe. These environmental programs should serve as the most critical component of their corporate social responsibility program. Keywords: corporate environmental responsibility, National Hockey League, Canada
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it