Universités, Complexité et Politiques Publiques en Temps de Crise
Bibliographic record
Abstract
The Covid-19 pandemic highlighted the strengths and weaknesses of social institutions when providing information to the state for crisis resolution. How is the public policy information system organized in the countries of the Americas and what role do universities play? This theoretical paper seeks to answer this question and explore the possibility of a paradigm shift for the university's role at the continental level. The methodology we have adopted is exploratory: we will compare cases published in digital media in both regions where universities were involved in studying phenomena triggered by the Covid-19 crisis. We will analyze these experiences in the light of two systems: the information creation system for public policy and the historical-cultural paradigm of human development. The results of our analysis show that the contemporary university can benefit from a broadening of its institutional role. This broadening would allow universities to undertake two strategic actions in the face of the key obstacles we have identified: (1) strengthen their academic offerings in the face of factors that go against the grain of higher education and (2) create greater compatibility between the knowledge generated within universities and the use that can be made of it by decision-makers.
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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 | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 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".