Possibilities of use of economic base models for help public decision
Bibliographic record
Abstract
Resume Consideree pendant les annees 70-80 comme un cadre conceptuel d’analyse du developpement regional, la theorie de la base economique represente aussi un outil au service du decideur public notamment grâce au renouvellement des concepts et des outils qu’elle mobilise. Ainsi, les modeles de la base sont susceptibles d’apporter des elements de reflexion sur quatre points principaux : l’identification des potentialites de developpement, la comparaison des principaux secteurs basiques, l’estimation de leurs effets induits et l’evaluation des retombees d’une politique publique. Une fois renouveles et appliques aux quelques petites regions rurales francaises et aux regions administratives du Quebec, ces modeles de la base ont donne un certain nombre de resultats pouvant interesser le decideur public. Par exemple, les etudes menees en France montrent l’importance des activites d’accueil (retraites, touristes) parmi les activites motrices. Pour cette raison, des politiques en faveur de l’accueil de nouvelles populations meriteraient d’etre developpees.
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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 | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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".