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Record W2981733418 · doi:10.3917/rqm.248.0059

Maître Henri LECLERC, La parole et l’action, Itinéraire d’un avocat militant Éd. Fayard, 2017, 500 p.

2018· article· fr· W2981733418 on OpenAlexaboutno aff
Pascal Percq

Bibliographic record

VenueRevue Quart Monde · 2018
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

« Toute ma vie, j’ai couru pour trouver une reponse a la question de mon enfance : c’est quoi la justice ».Ainsi s’exprime, dans un epais livre de souvenirs, un grand avocat, Me Henri Leclerc, âge aujourd’hui de 84 ans. Ce recit d’une vie temoigne certes d’avancees, mais aussi de reculs inquietants sur le plan du droit, au fil des humeurs d’une societe traquant ses propres fantomes ou de gouvernants obeissant parfois hâtivement aux clameurs. Deja, a 14 ans, apres la Liberation, l’horreur que lui inspirent les scenes de l’epuration sont decisives pour ce fils d’instituteurs qui se rappelle son pere s’indignant de toute absence de proces. Sa voie est tracee : il sera defenseur. Henri Leclerc est ce qu’on appelle dans les medias « un monstre du barreau ». Meme si son apparence, et sa voix – element capital pour un avocat – n’ont rien de tonitruant ou de « monstrueux ». Lui, ce qu’il inspire, c’est d’abord de la confiance. C’est sur ce registre qu’il sera le plus convaincant devant bien des jures. Il est d’abord un inlassable defenseur des Droits de l’homme, qui s’est efforce de respecter un principe de base : « Ce n’est pas le crime qu’on juge, c’est l’homme. » Dans la galerie des illustres « Maitres » qui l’ont inspire, il y a en premier Albert Naud qui defendit Laval, mais il y a aussi d’autres tenors et l’on apprecie tout particulierement ici l’hommage qu’il rend professionnellement a un avocat qu’il cite a plusieurs reprises, un autre grand defenseur des Droits de l’homme,

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)0.002
metaresearch head score (Gemma)0.005
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.094
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.006
Scholarly communication0.0120.010
Open science0.0010.003
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0240.010

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 head0.148
GPT teacher head0.457
Teacher spread0.309 · 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
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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