Management challenges for the fastest growing marine shipping sector in Arctic Canada: pleasure crafts
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 Changing environmental conditions in the Canadian Arctic are associated with an increase in marine tourism. A substantial decline in the extent of ice coverage in the summer season has resulted in greater accessibility for all categories of ships, and the tourism sector has been quick to respond to new opportunities. This increase in vessel traffic has raised significant issues for management, and particular concerns about the pleasure craft (non-commercial tourism) sector. This paper reports on research aimed at identifying change in the pleasure craft sector in Canadian Arctic waters since 1990; exploring management concerns held by stakeholders regarding changes in the sector; and, providing recommendations for government stakeholders. The paper is based on material gathered through an examination of existing data sources and stakeholder interviews ( n = 22). Analysis was aimed at understanding the rapid development of the sector and potential management strategies, including research needs. Analysis reveals a dramatic increase in annual vessel numbers, particularly from 2010 onwards. Management concerns of interviewees relate to implications of this growth in four areas: visitor behaviour; services, facilities and infrastructure; control; and, planning and development. The paper concludes by describing recommendations in the areas of research needs, regulation, and strategic development.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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