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Record W2809659625

Jean Vanier : Portrait d'un homme libre

2014· book· fr· W2809659625 on OpenAlexaboutno aff
Anne-Sophie Constant

Bibliographic record

Venuenot available
Typebook
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Jean Vanier est aujourd’hui connu dans le monde entier pour avoir cree l’Arche il y a exactement cinquante ans - une institution unique, ou vivent ensemble volontaires et personnes avec un handicap mental, et qui compte cent cinquante communautes sur les cinq continents. Mais sait-on que le grand fondateur est aussi un philosophe, un maitre spirituel qui touche croyants et non-croyants, et un veritable aventurier a la vie pleine de rebondissements ? Le livre d'Anne-Sophie Constant brosse d'une plume vive le portrait de ce personnage hors-norme. A l’âge de treize ans, apres en avoir arrache l’autorisation a son pere (le general Vanier, futur gouverneur general du Canada), Jean Vanier s’engage dans la Royal Navy, en pleine guerre. Puis a vingt-deux ans, alors qu’il est promis a une belle carriere militaire, il quitte tout pour des etudes de philosophie et de theologie, qui le meneront jusqu’au doctorat et au professorat. Sa vie bascule encore en 1964 lorsqu’il decide de creer dans un village de l’Oise un lieu de vie avec des personnes handicapees. Plus tard encore, cet homme d’action profondement habite par l’Evangile deviendra un infatigable messager de la paix et de l’œcumenisme. Anne-Sophie Constant, nourrie d’une longue frequentation des communautes de l’Arche et d’une connaissance intime de l’œuvre de Jean Vanier, met en lumiere les influences, decrypte les evenements, distingue les hasards qui ont pu determiner ce destin si singulier. Elle nous fait vivre l’histoire exceptionnelle d’un homme libre.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.892
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0290.007

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 head0.019
GPT teacher head0.192
Teacher spread0.173 · 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
Published2014
Admission routes1
Has abstractyes

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