Engaging the Past to Create a New Future: A Comparative Study of Heritage-driven Community Development Initiatives in the Great Northern Peninsula
Bibliographic record
Abstract
In many rural regions, a strong sense of local heritage and place-based identities are increasingly recognized development assets. In this paper, we assess heritage-driven community development initiatives as catalysts for rural community development in the Northern Peninsula region of Newfoundland and Labrador. The authors examine three rural community projects using an outcome-based evaluation approach and primary and secondary data sources to assess the contribution of these initiatives to community sustainability and resilience. The projects examined include initiatives based on French historical and cultural heritage, natural heritage, and influential historic characters. The assessment employs a multiple-capitals framework to consider contributions made in enhancing or mobilizing four categories of community capital: natural, human, social, and economic. Related challenges and opportunities are also considered. The research reveals that these community development initiatives have enhanced and mobilized all forms of community capital but significant gaps remain between realized and desired outcomes, creating a challenge for future growth and resilience. Future directions for community development practice and regional development policy are presented, including the need for community-based initiatives to enhance their engagement with visitors, residents and regional networks, for capacity development and for continued policy and program support for the region’s heritage and place-based social economy. Keywords: rural community development, tourism, heritage, resilience, sustainability perceptions La participation du passé dans la création d'un nouvel avenir: étude comparative d'initiatives de développement communautaire axées sur le patrimoine dans la Grande péninsule du nord Résumé Dans de nombreuses régions rurales, un sens aigu du patrimoine local et des identités locales constituent de plus en plus des atouts de développement. Dans cet article, nous évaluons les initiatives de développement communautaire axées sur le patrimoine en tant que catalyseurs du développement communautaire rural dans la région du nord de la péninsule de Terre-Neuve-et-Labrador. Les auteurs examinent trois projets de communautés rurales utilisant une approche d'évaluation basée sur les résultats et des sources de données primaires et secondaires pour évaluer la contribution de ces initiatives à la viabilité et à la résilience des communautés. Les projets examinés comprennent des initiatives fondées sur le patrimoine historique et culturel français, le patrimoine naturel et des personnages historiques influents. L'évaluation utilise un cadre à capitaux multiples pour examiner les contributions apportées à l'amélioration ou à la mobilisation de quatre catégories de capital communautaire: capital naturel, humain, social et économique. Les défis et opportunités associés sont également pris en compte. La recherche révèle que ces initiatives de développement communautaire ont amélioré et mobilisé toutes formes de capital communautaire, mais des écarts significatifs subsistent entre les résultats obtenus et les résultats souhaités, créant un défi pour la croissance et la résilience futures. Les orientations futures des pratiques de développement communautaire et de politique de développement régional sont présentées, y compris la nécessité d'initiatives communautaires pour renforcer leur engagement auprès des visiteurs, des résidents et des réseaux régionaux, pour le développement des capacités et pour le maintien du soutien des politiques et des programmes pour le patrimoine et l'économie sociale locale.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".