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Record W4390676573 · doi:10.7202/1108311ar

La passion du profit comme astreinte ou poïèsis contractuelle ?

2023· article· fr· W4390676573 on OpenAlexaff
André Bélanger

Bibliographic record

VenueCommunitas · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicLegal and Social Philosophy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsProfit (economics)PassionLaw and economicsSociologyLawPolitical scienceEconomicsEpistemologyPhilosophyMicroeconomicsPsychologySocial psychology

Abstract

fetched live from OpenAlex

Comment la compréhension juridique du contrat est-elle influencée par notre recherche de profit ? Cette relation entre l’outil juridique et l’acceptation sociale du profit contribue-t-elle à une forme de poïèsis contractuelle dont la teneur échappe aux juristes ? En s’attardant aux liens, plus ou moins francs, assumés ou (in)conscients qui se tissent entre le discours contractuel et notre (in)compréhension du profit (que ce dernier soit justifié par le risque, l’innovation ou l’exploitation), ce texte propose de révéler la grammaire innervant le contrat et le pouvoir qu’il exerce aujourd’hui. Cette mise en relation Profit-Contrat souligne une possible renaissance sous les apparences d’astreinte et se formule donc comme un Ouvroir de Droit Potentiel pour l’épistémologie du contrat. Dans une perspective dogmatique, ce potentiel est sans doute aussi important que le profit sans limite qu’offrent les divers procédés d’échanges virtualisés contemporains. Il faudra établir dans quelle mesure ces dispositifs sont ou non façonnés, pensés, orientés par les juristes, voire conditionnent nos pratiques et théorisations contractuelles. Autrement dit, si notre rapport contemporain décomplexé au profit a tué le contrat, on ne peut nier que ce dernier renaît, sous d’autres atours, et est animé de nouvelles justifications. Peut-on alors soutenir que puisque la loi des parties est morte, plus que jamais, c’est aux parties de créer la loi contractuelle ?

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.038
Scholarly communication0.0150.017
Open science0.0020.005
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0110.002

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 head0.116
GPT teacher head0.350
Teacher spread0.234 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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