QUALITY OF LIFE ASSESSMENTS AND SOCIAL SUSTAINABILITY: SKI TOURISM DEVELOPMENT IN INVERMERE, BRITISH COLUMBIA
Bibliographic record
Abstract
The purpose of this study was to determine the feasibility of using quality of life assessments (QLA) to evaluate social sustainability and impacts of a hypothetical tourism development modelled after the currently-proposed Jumbo Glacier Resort. Results of this study indicated that there was a significant difference between the pre- and post-development scenarios on respondents' perceived quality of life: respondents perceived that their quality of life would be lower after the development of the resort. Also, respondents' general attitudes towards tourism development, and the specific Jumbo Glacier Resort project, had a statistically significant impact on their expected quality of life, and their interpretation of how tourism impacts their quality of life. The study suggests that quality of life assessment can make valuable contributions to the fields of social impact assessment and social sustainability analysis, and the results of such assessments can make valuable contributions to the fields of sustainable community development.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".