Strategy For Structures: Lessons In Community & Regional Economic Development
Bibliographic record
Abstract
The current distribution of power between local, regional, and national governments often runs contrary to common sense as well as economic reality. There is no cut-and-dried solution. But research into recent experience in the North Atlantic Rim clarifies the capacity that must be cultivated at the local level so that a sensible and effective devolution of authority can proceed. Greenwood’s simple but effective representation of how power, authority, and resources are distributed between the federal, provincial and local levels in Canada represents a thoughtful and powerful judgment of how the system works against the harnessing of local knowledge and capacity so crucial to development in the modern economy. Comparing the results of the research this article reports with others in this section (Lewis, 1994; O'Regan and Conway, 1994; Lewis, 2000; Greenwood, 2000) reveals a fascinating convergence of conclusions as well as serving to enrich the texture and nuanced understanding to be gleaned from a careful reading of this cluster of contributors.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".