1 Development in Place: A View from the Periphery
Bibliographic record
Abstract
Place Peripheral examines regional development in rural, island, and \nremote communities from a place-based approach. This edited volume addresses \nthemes that are receiving considerable attention in Canada and \ninternationally as researchers and public policy analysts alike strive to better \nunderstand and apply place and place-based strategies in rural and remote \nregions. The volume and its contributors examine place-based economic development \nstrategies but move beyond a naive and narrow focus on commodi!- \ncation to recognize the broader and deeper signifcance, meanings, and \nattachments often associated with place. The chapters interrogate such relationships \nas may exist among sense of place, cultural and social development, \nand environmental stewardship, for example. \nThis introduction argues for the importance of examining place and \nits role in development within the contemporary periphery, and thus outlines \nthe timely and important contribution of this volume. It also reviews \nthe organization of the volume and introduces the individual chapters.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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; both teacher heads agree on what is shown here.
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".