Northern exposure: opportunities and challenges for tourism development in Torngat Mountains National Park, Labrador, Canada
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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