The Adaptation of Rural Communities to Socio-Economic Change: Theoretical Insights from Atlantic Canada
Bibliographic record
Abstract
Why do certain rural communities have the capacity for renewal and innovation in the face of transformation, while others stagnate, decline, and die out? What factors are involved in the resiliency of the former communities, and what conditions cause the latter to falter in their capacity for survival? With the hope of gaining valuable insight in support of the economic development agenda of Atlantic Canada, this article reviews the definitional and theoretical literature surrounding the adaptation of rural communities to changes brought about by the transition to knowledge-based economies. The article defines and discusses the merits of community resiliency, community assets, community capitals, and social capital, placing these concepts within a larger entrepreneurial social infrastructure framework. The history and socio-economic realities of the four Atlantic Canadian Provinces are woven together in an effort to keep the literature review and arguments as relevant as possible to the current circumstances of the region. Keywords: Rural Atlantic Canada; natural resource dependence; economic development; community resiliency; community assets; social capital; entrepreneurial social infrastructure
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".