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Record W2996542358

L'Odyssée d'Yval

2018· book· fr· W2996542358 on OpenAlexaboutno aff
Stéphane Libertad

Bibliographic record

VenueÉditions du Septentrion eBooks · 2018
Typebook
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

A l'aube de la cinquantaine, Yval Constantin, un ecrivain voyageur dont le fils est obnubile par Gollum, decide de se rendre en Espagne afin de renouer avec son aventure personnelle en accomplissant les 800 km qui relient les Pyrenees a Compostelle. Ponctue par l'imagerie du Seigneur des Anneaux, ce periple confronte Yval a ses peurs en l'obligeant a depasser ses limites et a prendre conscience que derriere le masque de l'ecrivain se cache un homme ayant subi dans son enfance un traumatisme qui a fait de lui ce qu'il est. Semee d'embuches et d'imprevus, cette odyssee contemporaine est celle d'un pere de famille qui tente de retrouver gout a la vie. Ici, la route de Compostelle est pretexte a l'evasion; elle est peuplee d'Orques et d'Elfes, d'un Magicien Blanc et d'un petit monstre envoute par un anneau symbolisant la lutte entre le bien et le mal. Stephane Libertad a immigre au Quebec en 2006 et vit actuellement a Montreal. Il a exerce divers metiers tels que marchand d'art, scenariste et detective prive. Il est a present redacteur pour une compagnie d'informatique et ecrivain. Son premier roman, Le chien de Saint-Jacques, a ete publie en 2001 a Paris aux Editions Seguier. Apres La Trajectoire (2010) et La Baleine de parapluie (2012), L'Odyssee d'Yval est son troisieme livre a paraitre chez Hamac.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.406
Threshold uncertainty score0.808

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0110.004
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0300.004

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 head0.173
GPT teacher head0.282
Teacher spread0.110 · 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
Published2018
Admission routes1
Has abstractyes

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