L'indétermination et l'interprétation chez les positivistes analytiques: un échange avec Austin, Kelsen, Hart et ...Dworkin (Indeterminacy and Interpretation by Analytical Positivists: An Exchange with Austin, Kelsen, Hart and...Dworkin)
Bibliographic record
Abstract
French Abstract: John Austin, Hans Kelsen et Herbert Hart sont trois positivistes analytiques ayant comme caracteristiques communes d'avoir aborde de facon tres elaboree le theme de l'indetermination des regles et du pouvoir discretionnaire voire legislatif des juges. Ronald Dworkin, un des critiques les plus importants de ce courant au cours du XXe siecle (et principalement de la theorie elaboree par Hart), s'est justement appuye sur cette dimension du droit pour remettre en question la coherence de leur theorie. Meme si Dworkin a finalement ete incapable de detruire completement l’appareil conceptuel des analytiques, ayant lui-meme ete force de s'amender et de corriger sa propre theorie, ses attaques ont eu pour effet de mettre en exergue les lacunes de cette approche. Ses critiques ont aussi force les analytiques corriger certains aspects de leur theorie, et notamment a abandonner la separation absolue du droit des autres aspects de la vie en societe tels que la justice et ]a morale qu'ils soutenaient jusqu'alors. Enfin, si ces trois auteurs acceptent l'idee que des elements extra-juridiques ont une influence sur les tribunaux au moment de l’interpretation, aucun d'entre eux ne nous fournit explicitement d'indices permettant de decouvrir l'identite de ces facteurs. Seul Kelsen nous offre certains indications des ces elements (grâce au syllogisme de Kelsen) mais pour utiliser ceux-ci, nous devons recourir a une reconstruction et une reinterpretation de ses travaux dont il refusera probablement les conclusions.English Abstract: John Austin, Hans Kelsen and Herbert Hart are three analytical positivists who share the common characteristic of having examined in depth the issue of the uncertainty of rules of law and of the discretionary, even the legislative power of judges. Ronald Dworkin, one of the main critics of this trend in the 20th century, and especially of the Hart theory, relied on that very dimension of law to question the consistency of the latter's theory. Although Dworkin has been unable ultimately to completely destroy the conceptual framework of these analysts, and was forced to amend and correct his own theory, his attacks helped point out the deficiencies in this approach. His critical comments also led analysts to amend certain aspects of their theory, and namely forced them to abandon their thesis that law is completely separated from other aspects of life in society, for example to cease to distinguish between justice and morality as they used to do. Finally, if these three authors accept the idea that extrajudicial elements do come into play to influence judges when interpreting, the law, neither one explicitly guides us into discovering what actually are these factors. Only Kelsen gives us some indication of these factors (through his syllogistic reasoning), but in order to use these factors, a restructuring and reconstruction of his work would be necessary that would lead to conclusions that the latter would very likely reject.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.009 | 0.048 |
| Scholarly communication | 0.019 | 0.022 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.012 |
| 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".