Fiscal implications of moving to tourism finance for parks: Ontario Provincial Parks
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
This article reviews the fiscal implications of moving from government funding of park management to user-funded operations in a major park system, the Provincial Parks in Ontario, Canada. In 1995/1996 after the introduction of the new funding model, the government grant to Ontario Parks was reduced to $10.6 million from $28.8 million, a reduction of 63%. Over the 15-year study-period from 1995 to 2010, the tourism-based income increased from $18.1 million to $64.9 million, an increase of 257%, while visitation increased from 8.6 million to 9.5 million in the same period, an increase of 10%. The total operating budget of Ontario Parks increased from $28.2 million to $76.5 million, an increase of 165%. The park tourism income increased through: (1) increased levels of fees charged; (2) increased diversity of pricing; and (3) broadening the income to include new features. Factors leading to the successful utilization of this user pay system for a park system are suggested.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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