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Record W3158544323

Vers d'autres rives

2019· book· fr· W3158544323 on OpenAlexaboutno aff
Dany Laferrière

Bibliographic record

Venuenot available
Typebook
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities
DOInot available

Abstract

fetched live from OpenAlex

Dans ce recit tres personnel, illustre de sa propre main, original et drole, Dany Laferriere se raconte. De son enfance en Haiti, il parle des gens qu'il aime, de ses souvenirs, des lieux et sensations. Puis il bifurque sur les peintres primitifs... avant de nous embarquer a Miami, ou il vecut quelques annees, periode de sa vie dont il nous raconte le quotidien aupres de sa femme et ses filles, dans ce pays inconnu. Il evoque les quartiers et les habitants, la societe americaine, mais surtout il raconte la vie d'ecrivain, la solitude et la reconnaissance. Etonnant, lumineux, tendre et profondement authentique, ce recit dessine s'adresse aux amoureux de Dany Laferriere, d'abord, mais aussi aux amoureux des mots et des histoires. Dany Laferriere, ne en 1953 en Haiti, est un ecrivain et scenariste residant principalement a Montreal. Laureat du prix Medicis en 2009 pour L'Enigme du retour (Grasset), il est elu en 2013 a l'Academie francaise, ou il est officiellement recu en 2015.

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)0.004
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 score0.119
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0090.004
Scholarly communication0.0100.005
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.1190.041

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 head0.012
GPT teacher head0.194
Teacher spread0.182 · 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
Published2019
Admission routes1
Has abstractyes

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