Bibliographic record
Abstract
Last spring, Quebec’s government awarded a grant of 2.7 M$ over six years for the creation of a “Centre de recherche en plasturgie et composites, (CREPEC)” a new strategic R&D center for polymeric material composites. This grant from the “Fonds de recherche sur la nature et technologies (FQRNT)” helps to bring together the most vibrant elements of Quebec’s R&D community in polymer processing and composites. It introduces a unique synergy as CREPEC members will strive to develop novel high-performance materials and more efficient manufacturing processes. The more than fifty regular members of CREPEC come from the Centre de recherche appliquee sur les polymers (CRASP)—l’Ecole Polytechnique, the Centre sur les Composites (CONCOM)—Concordia University, and the Centre de recherche sur les materiaux composites pour les structures de genie civil (MCSGC) from Universite de Scherbrooke. In addition individual researchers from Ecole de Technologie Superieure (ETS), Universite Laval, McGill University, l’Institute d...
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".