Identifying and evaluating adaptation strategies for cruise tourism in Arctic 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
The cruise tourism industry in Arctic Canada has recently grown rapidly with stable numbers now emerging. While there are many socio-economic opportunities associated with growth, climate change, and environmental, technical and cultural risks also present significant management challenges. To enhance understanding of these opportunities and risks, this study adopted a policy Delphi approach to identify and evaluate potential adaptation strategies to aid decision-makers and policy-makers managing cruise tourism development and its associated impacts. Over 500 ideas were identified. These were distilled down to 65 potential adaptation options, which were evaluated for priority and feasibility by key stakeholders including local residents, tourism operators, and policy-makers. The majority of recommendations were evaluated as of high priority and most options were perceived to be somewhat affordable and implementable. Key needs included disaster management plans, updated technology and ship navigation systems, improved marine resource mapping, and the development of a code of conduct for cruise tourists to guide visitor behaviour and promote a sustainable approach. The research represents the first empirical study to identify and evaluate adaptation strategies for cruise tourism development in Arctic Canada and outlines current priorities, opportunities, and challenges associated with managing socio-economic change in Arctic Canada in sustainable ways.
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 | 0.002 | 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 | 0.001 |
| 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