Bibliographic record
Abstract
À l’occasion de la première publication française de L’économie institutionnelle de John R. Commons, Jean-Jacques Gislain et Bruno Théret, qui en ont dirigé la traduction et introduisent l’œuvre de Commons dans quatre textes complémentaires, nous ont accordé un entretien. Celui-ci nous permet de découvrir une œuvre majeure publiée en 1934 aux États-Unis mais largement passée dans l’oubli, et de nous faciliter l’entrée dans une pensée complexe et souvent déroutante du fait de la spécificité de son appareil conceptuel. A delve into pragmatist institutionalism: an Interview with JeanJacques Gislain and Bruno Théret, editors of the recent translation of John R. Commons, Institutional Economics For the first time, John R. Commons’ Institutional Economics has been published in French. Jean-Jacques Gislain and Bruno Théret, who edited the translation and presented Commons’ work in four complementary texts, granted us an interview. The conversation gives us an insight into a major work published in the United States in 1934, but largely forgotten, and helps us to get to grips with a complex and often disconcerting thought due to the specificity of its conceptual apparatus.
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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 | 0.020 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.064 |
| Scholarly communication | 0.017 | 0.021 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.016 |
| Insufficient payload (model declined to judge) | 0.005 | 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".