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Record W2911619957

Avant que ne tombe la nuit

2012· book· fr· W2911619957 on OpenAlexaboutno aff
Michèle Matteau

Bibliographic record

VenueLes Editions L'Interligne eBooks · 2012
Typebook
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Un soir ou vous n'aurez pas envie de devenir un dormeur parmi tant d'autres, ouvrez le dernier roman de Michele Matteau. Plongez dans Avant que ne tombe la nuit, suite de Du Chaos pour une etoile, et retrouvez parmi les personnages sortis de l'imaginaire de cette auteure prolifique, un Leandre angoisse happe par l'autre versant de sa vieillesse. Mais qui est Leandre ? Un enseignant a la retraite qui, mu par une curiosite insatiable et une generosite debordante, veille sur le village franco-ontarien de Villery. Au fil des pages, on se prend de sympathie pour cet homme de 73 ans qui cherche a comprendre les faits et gestes de ses semblables. Il veille sur son amoureuse devenue un peu lointaine, Florence Santerre, animatrice a Radio-Canada, sur le vieux docteur Ladislas Vermes qui entretient un cimetiere sous la forme de pots de violettes africaines, sur l'infirmiere Seraphine Akimana et son fils adolescent dont l'arrivee a Villery force a l'ouverture certains esprits etroits. Leandre est le pivot de cette histoire resolument moderne ou un village isole se voit rejoint par les problemes de la planete. Leandre ecrit son journal, s'occupe de son jardin, mais il est avant tout curieux des autres. Il les observe avec lucidite et les respecte avec tendresse peu importe leur generation, leur race, leur style de vie. Il est le maitre de l'agora, et l'on prend un grand plaisir a le suivre, un mot apres l'autre, lui qui fonce, en les redoutant, vers des lendemains qui dechantent.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.325
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0140.009

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 head0.038
GPT teacher head0.346
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; both teacher heads agree on what is shown here.

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
Published2012
Admission routes1
Has abstractyes

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