Conversation with Paul Dumouchel
Bibliographic record
Abstract
Paul Dumouchel is a Canadian philosopher, who worked as a professor at the Graduate School of Core Ethics and Frontier Sciences at Ritsumeikan University in Kyoto, Japan, where he taught political philosophy and the philosophy of science. Now based back in Canada, he is affiliated with the Department of Philosophy at the Université du Québec à Montréal (UQAM) and is a visiting researcher at the Centre de Recherche en Droit Public (CRDP) at the University of Montreal. Dumouchel served as President of the Canadian Philosophical Association and co-founded the Centre de Recherche en Épistémologie Appliquée (CREA) at the École Polytechnique in Paris. His published works include Emotions (1999), The Ambivalence of Scarcity and Other Essays (2014), and The Barren Sacrifice (2015). He co-edited Against Injustice: The New Economics of Amartya Sen (2009) and Social Bonds as Freedom (2015) with Reiko Gotoh, and his most recent book, Living with Robots (2017), was co-authored with Luisa Damiano. He has been visiting professor at the University of Cagliari since 2019, participating in the Visiting Professor/Scientist program, funded by Regional Law 7/2007 of the Autonomous Region of Sardinia. In this interview, he shares insights into his research, academic experiences, and the evolution of his philosophical thought.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.010 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.009 | 0.019 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".