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Record W4390676587 · doi:10.7202/1108309ar

Éléments de science ‘patajuridique

2023· article· fr· W4390676587 on OpenAlexaffabout
T. Windisch

Bibliographic record

VenueCommunitas · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsReflexivityRelation (database)Raising (metalworking)SociologyOrder (exchange)Reading (process)EpistemologyLawPhilosophyPolitical scienceSocial scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

Cet article vise à interroger les contraintes épistémologiques de production d’un discours juridique scientifique en mobilisant des notions issues du courant Droit et littérature. En relevant les enjeux relatifs à la normativité du discours doctrinal, l’approche proposée met l’emphase, dans la première partie, sur la réflexivité des juristes par rapport à leur propre discours et envisage des moyens littéraires, tel que la reformulation du contrat de lecture, afin de produire un discours doctrinal conscient de ses propres impensés. La deuxième partie consiste en un exercice d’application de méthodes littéraires à des notions de louage, en droit civil québécois, grâce à une conception « pataphysique » de la science juridique, dans le sillon de l’œuvre de l’auteur Alfred Jarry.

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)0.019
metaresearch head score (Gemma)0.020
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 score0.022
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0110.063
Scholarly communication0.0150.009
Open science0.0020.007
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0100.002

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 head0.134
GPT teacher head0.489
Teacher spread0.355 · 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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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