A Break from the Past: Impacts and Implications of the Canada Foundation for Innovation and the Canada Research Chairs Initiatives*
Bibliographic record
Abstract
Cet article cherche à explorer de façon préliminaire la nature et l'im‐pact de deux récentes initiatives fédérales concernant la recherche universitaire, soit la Fondation canadienne pour l'innovation et les Chaires de recherche du Canada. Une description des faits saillants de ces initiatives sera suivie d'une analyse centrée sur la manière dont ces initiatives contribuent à réorganiser les relations sociales entre les universités, le gouvernement, le secteur privé et le public général, de même que les relations au sein même de ces organismes. L'analyse considère ègalement les conséquences de cette réorganisation pour les groupes en cause afin d'éclairer les discussions et actions qu'ont engendrées ces initiatives singulières et significatives pour les études supérieures au Canada. This paper aims to explore—in a broad and preliminary way—the nature and impacts of two recent federal initiatives related to university research, namely the creation of the Canada Foundation for Innovation and the Canada Research Chairs Program. After describing and highlighting key features of these initiatives, the paper examines how they are helping to reorganize social relations within and between universities, government, the private sector, and the general public. It also considers some implications of these changes for the various parties involved, as a means of informing the latter's discussions of, and responses to, these unique and significant developments in Canadian higher education.
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 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 | 0.018 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.033 | 0.023 |
| Scholarly communication | 0.024 | 0.007 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".