Le développement durable appliqué à la planification rurale: le cas d’une région rurale au Canada
Bibliographic record
Abstract
Many rural regions have now become fragile with their integration in the modern agrofood system. This is the case for numerous remote regions of Canada like the Chaudière-Appalaches region in Quebec. Thispaper presents an action-research aim in establishing a rural plan based on a solid territorial diagnostic and well designed strategy of rural development. The diagnostic aprroach as well as the rural development strategy aprroach presented here have their origins in an attempt of apllying the sustainable rural development theory, considered an operating methodology. The problem is how the formation of a new development dynamics, based on public policies and on action strategies that respect the contemporary economic limitations can be assured, but, at the same time, value the agroecological potentialities of those lands and integrate the expectations and wills of the population involved. That is to say that it´s matter of social acceptability of the agricultural practices facing limitations or economic oportunities. Such harmonization among economy, environment and society constitues a necessary condition for the arising of conditions to support the sustainable rural development as we try to demonstrates in this paper.
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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 | 0.002 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".