Strategies for Managing Arctic Pleasure Craft Tourism: A Scoping Study, Report to Transport Canada
Bibliographic record
Abstract
The purpose of this report is to provide information to Transport Canada to aid in the management of the growing pleasure craft sector in Arctic Canada. The report is based on material gathered through a literature review, an examination of data sources, and a series of stakeholder interviews. Analysis of the material is aimed at understanding the nature of the sector and potential management strategies. Pleasure craft vessel numbers have increased dramatically since 2010. Vessel numbers more than doubled between 2009 and 2012 and are expected to continue to grow. Considerable research is needed to understand the nature of pleasure craft travel in the Canadian Arctic and notes that Transport Canada has access to a range of potential management strategies, including some already in use in other polar regions. Recommendations for Transport Canada are provided in four categories (management, research, information provision, and regulation) and they include the need to examine all possible strategies, to coordinate with other managing bodies, and to support further research and/or data collection efforts.
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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 | 0.001 | 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 | 0.002 | 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 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".