Closing the implementation gap: a framework for incorporating the context of place in economic development planning
Bibliographic record
Abstract
Since the early 1980s, rural and small-town Canada has experienced considerable transformation from social, economic, and political restructuring. These changes put pressure on communities and regions to assume increasing levels of responsibility for economic planning and development. The record to date, however, reveals implementation gaps between plans and the results on the ground. This paper explores this implementation gap using a case study from northwestern British Columbia, Canada. The findings indicate that a failure to incorporate the context of place in the analysis of economic strategy reports results in flawed local and regional development processes and misdirected action plans. This research is set within a broader revival in the regional development literature, where an interest in regions is accompanied by enquiry into the ability of local action to influence economic development planning and longer-term community sustainability.
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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 | 0.060 | 0.047 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.014 | 0.104 |
| Scholarly communication | 0.021 | 0.029 |
| Open science | 0.008 | 0.020 |
| Research integrity | 0.009 | 0.012 |
| 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".