Innovation et participation aux marches d'exportation chez les entreprises du secteur canadien de la fabrication
Bibliographic record
Abstract
Le present document vise a determiner si la recherche et developpement (R-D) stimule chez les entreprises le niveau de competitivite necessaire a leur entree sur les marches d'exportation et si, a son tour, la participation aux marches d'exportation fait croitre les depenses en R-D des entreprises. Il a ete demontre que les entreprises canadiennes qui n?avaient pas effectue d'exportations auparavant et qui se sont lancees sur les marches d'exportation au cours de la premiere decennie des annees 2000 ont non seulement vu leur productivite et leur taille augmenter, selon les constatations publiees au cours des decennies precedentes, mais sont egalement plus susceptibles d'avoir investi dans des activites de R-D. Les depenses extra-muros en R-D (pour l'acquisition aupres de fournisseurs canadiens et etrangers) et les depenses intra-muros en R-D (pour les activites effectuees par l'entreprise elle-meme) augmentent la capacite des entreprises a percer les marches d'exportation. l'activite d'exportation a egalement une incidence importante sur les depenses en R-D subsequentes, les entreprises exportatrices etant plus susceptibles de commencer a investir dans des activites de R-D. Les entreprises qui ont commence a exporter leurs produits ou services ont accru leurs depenses extra-muros en R-D pendant l'annee ou les exportations ont eu lieu.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".