Bibliographic record
Abstract
Si on la compare à celle des autres pays de l'OCDE, la situation du Québec en termes de capital de risque est paradoxale. Elle se caractérise par une offre très abondante de capitaux, qui découle presque exclusivement de programmes gouvernementaux ou subventionnés fiscalement. Elle se caractérise également par l'insatisfaction de très nombreux entrepreneurs face aux difficultés, aux coûts et aux conditions de financement. Sur la base de travaux menés dans divers pays, et après analyse des principaux programmes québécois, nous concluons que l'intervention gouverne-mentale est devenue source de dysfonctions graves. Nous proposons une série de mesures vigoureuses, qui ont pour objectif de donner au Québec un marché du capital de risque dynamique et surtout concurrentiel. Les mesures proposées permettent d'injecter à court terme environ 2 milliards de dollars de fonds dans les entreprises de petites tailles, sans coût supplémentaire pour les gouvernements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".