Réseaux d’information des PME en milieu non métropolitain
Bibliographic record
Abstract
L'article analyse les réseaux d'information des PME situées au Québec en milieu non métropolitain. Le recours aux réseaux est analysé en fonction de l'internationalisation et de leur localisation en site rural ou urbain. Il appert qu'il n'y a pas de différences significatives entre les PME exportatrices et non exportatrices quant aux recours aux ressources externes, à l'exception des associations sectorielles et des organismes gouvernementaux davantage utilisés par les entreprises exportatrices. Contrairement à l'opinion largement répandue, l'implantation en milieu rural des PME a peu d'effet sur le caractère novateur des entreprises. En fait, l'inconvénient le plus important sur le plan de l'information est leur accessibilité aux centres de recherches privés. Bref, l'écart entre les zones urbaines et rurales en matière de réseaux d'information, d'innovation et d'exportation s'est amenuisé pour les PME en milieu non métropolitain.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".