Northern exposure: opportunities and challenges for tourism development in Torngat Mountains National Park, Labrador, Canada
Bibliographic record
Abstract
ABSTRACT Torngat Mountains National Park (TMNP) is Canada's newest national park, and was established in 2005. The development of the park has mirrored a change in mandate for the agency that manages it, Parks Canada. Since 2005 Parks Canada has sought to focus on ‘proactively facilitate[ing] opportunities for meaningful and memorable visitor experiences’, complimentary to maintaining the protection of ecological integrity and providing education (Parks Canada 2005, no page numbers). Under the auspices of this new multi-faceted mandate, this research note will examine the current state of tourism in TMNP, and will also evaluate some of the opportunities and challenges for the future. Within Parks Canada's Visitor experience vision 2015 statement, understanding tourism delivery in the present and future are important components of its mission, as is engagement with external partners to assist in this process. The analysis of tourism development in TMNP for this note comes from the authors' two week research trips to the park in August 2008 and July 2009, undertaken to assist Parks Canada to evaluate their current visitor experience activities and future options.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".