Why Go Green? The Business Case for Environmental Commitment in the Canadian Hotel Industry
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
ABSTRACT Despite several studies, international treaties and individual organization's commitment to going green in the tourist hotel industry, there has been limited discussion of the business case for implementing environmental practices. Several hotels have determined that there are numerous benefits to greening their hotel operations; however, there is still a gap between attitude and action in this industry. Cost savings; competitive advantage; employee loyalty; customer retention; regulatory compliance; risk management and social responsibility have been identified as the benefits to environmental commitment however with very limited discussion and proof in relation to the hotel industry. This paper seeks to identify the business case for environmental commitment with a focus on the Canadian hotel industry. Concrete examples of benefits that apply to this industry are discussed as well as future trends that support the case that going green is necessary for an economically viable and efficiently run hotel.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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