Luxury Tourism as a Community Economic Development Strategy in the Depleted Community of Gananoque and the 1000 Islands
Bibliographic record
Abstract
This paper aims to shed the light on how the luxury tourism may serve as a community economic development strategy in the depleted communities. The purpose of the study is to identify the interests and preferences of potential tourists in the 21st century, primarily those individuals who have the time and money to spend a week visiting the 1000 Islands region, thereby contributing much more to the local economy than those tourists for stay for only a few hours. The study used a simple Non-Experimental Fixed Research Design questionnaire with a five-point Likert scale for 17 possible aspects of a luxury vacation in the 1000 Islands. The survey was conducted by telephone, and the Chairs of the various chapters of the Canadian Association of Retired Persons were contacted with a goal of speaking to half of the 51 CARP Chapter Chairs. Of the 17 items that were scored by the 15 research participants, Leisure Time proved to be the most popular item surveyed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".