Business and Community Approaches to Rural Development: Comparing Government-to-Local Approaches
Bibliographic record
Abstract
The Canadian Community Futures Program and the European Union program for rural development, LEADER, are similar in their ambitions to boost rural development at community level through state intervention. Each program offers universal coverage, external funding and a set of regulations to be adjusted to local circumstances through local action. Economic development and an increased local capacity to act are important ambitions. When comparing the two programs differences become evident. The Community Futures focus on short term business development through revolving loans, counseling and community projects, whereas LEADER have a mid- to long term perspective in creating development oriented networks through project funding. In evaluating and learning from these programs, this paper argues that mainly core objectives (economic and employment outputs) are measured and accounted for whereas outcomes such as community performance, leadership development, community cohesion, confidence building and youth engagement often are neglected. The latter are of greater importance for the continued pursuit of establishing learning communities.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".