John Dewey : propositions pour une reconstruction démocratique de l'université : éléments théoriques, historiques et prospectifs pour une philosophie de l'éducation pragmatiste de l'enseignement supérieur
Bibliographic record
Abstract
The PhD work submitted here is inspired by a transdisciplinary pragmatist approach in which philosophy of education, epistemology, ethics and political philosophy converge in an attempt to answer the following question: What can John Dewey's pragmatism bring us as theoretical tools for thinking about the future of today's academic institutions? To answer this question, we hypothesize that the complex and extensive conception of democracy by the pragmatist philosophy provides a rigorous theoretical framework and a relevant epistemological, ethical and pedagogical perspective for reconstructing a new political-educational project of a democratic university. So it's this particular university project that we're reconstructing in three ways here. First of all, on a theoretical point of view, we're trying to account for what that project was in the time of John Dewey. Then, historically, we examine the academic experiments carried out at that time, in different places in the United States, based on this project. Finally, in a prospective way, we seek to formulate, from these first two theoretical and historical investigations, new elements to update this project for our days. The ambition of this work is to propose new ways of thinking about the future of the university based on a democratic and pragmatic philosophy of education in higher education.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.008 | 0.014 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".