Fringe stakeholder engagement in protected area tourism planning: inviting immigrants to the sustainability conversation
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 Effective and inclusive community participation is an essential and challenging component of sustainable tourism planning and development, especially as communities become increasingly diverse. The establishment of national parks and other protected areas closer to urban areas provides a unique opportunity for investigating community engagement in diverse contexts, as park agencies are mandated to connect with a broader range of community stakeholders. Historically, the engagement of immigrants and minorities with parks and protected areas has focused primarily on visitation, while their role as members of host communities has for the most part been overlooked. This qualitative study, conducted during the development of Canada's first National Urban Park, addresses this need by providing a deeper understanding of immigrants’ engagement in planning. In-depth, semi-structured interviews are conducted with planners, politicians, community organizations, and first-generation immigrants who are now community leaders. The study draws upon, and expands on, earlier work by McCool and by Bramwell. It recommends five underlying principles for more inclusive public conversations: adopting an ongoing, long-term, and communicative approach; being open to new perspectives and willing to revisit assumptions; designing parallel strategies and customized tactics; collaborating with community leaders; and engaging in short-term and long-term learning.
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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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