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Record W2047261895 · doi:10.7202/027422ar

La nature de la complémentarité entre le raisonnable et le rationnel chez Rawls

2007· article· fr· W2047261895 on OpenAlexvenueno aff
Geneviève Nootens

Bibliographic record

VenuePhilosophiques · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Rawls symbolise les niveaux de raisonnement moral public et non public par l'utilisation des notions de raisonnable et de rationnel. Dans le contexte du pluralisme raisonnable qui caractérise les sociétés démocratiques libérales, il propose une articulation de ces notions qui doit permettre aux citoyens d'adhérer à leurs propres conceptions générales du bien sans pour autant compromettre l'existence d'une conception commune de la justice. R vise à articuler doctrines particulières et conception commune de façon à laisser la place à l'expression des convictions personnelles des individus sans par ailleurs donner une signification égoïste à l'association politique. Cependant, lorsque Rawls précise le contenu de cette conception commune de la justice et la motivation des individus à y adhérer, il menace dangereusement la spécificité morale qu'il accorde en principe à la notion de raisonnable, symbole de cette raison publique, commune, partagée par les citoyens. Après avoir démontré cette difficulté, je souligne en conclusion deux raisons qui y contribuent, soit d'une part la prétention de Rawls de définir un libéralisme strictement politique et d'autre part la difficulté (présente chez la plupart des théoriciens du libéralisme contemporain) d'articuler une conception cohérente et acceptable de la motivation morale.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.022
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.118
GPT teacher head0.407
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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