Remembering the forgotten shore : sustainable development alternatives for Owls Head, Nova Scotia
Bibliographic record
Abstract
Rural coastal communities are increasingly challenged to innovate and adapt to changes brought on by external economic, environmental, and sociocultural pressures. As a means of adapting to these changes, this study explored sustainable tourism and innovative community-based development strategies within the contexts of conservation and community \nengagement by focusing on the case of Owls Head, Nova Scotia. Supported by background knowledge from an extensive literature review, 13 semi-structured interviews were conducted. Community assets were evaluated with regards to their potential to contribute to sustainable tourism development in the Owl’s Head region. Analysis resulted in five core \nthemes: (1) Recognizing the Importance of Owls Head to NS, (2) Owls Head & Ecosystem Regeneration, (3) Building Trust through Community Engagement, (4) Building Community Resilience through Tourism, and (5) Localized Economic Development. Based on the results, many stakeholders believe that the accessibility and quality of tourist sites surrounding Owls Head can be improved and protected by creating and updating infrastructure. Additionally, interviewees believed programming initiatives are needed to add value to tourist experiences \nand infrastructure. Policy recommendations to stimulate regenerative development could include renewable energy subsidies, incentives for local business development, designation of protected areas, and/or subsidies and grant funding for local organizations and initiatives. The \nmain lessons learned from this study are that development should: restore trust between community members and outsiders, highly value and utilize local ideas and resources, improve access to and quality of the natural environment, showcase the cultural heritage of the region, and inspire further innovation. Further research is needed to understand the full impacts, effectiveness, and complexities of community-based, community-led infrastructure and program development on Nova Scotia’s Eastern Shore.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".