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Record W2947791120 · doi:10.7202/1059907ar

Savourer le Japon d’Aki Shimazaki

2019· article· fr· W2947791120 on OpenAlexvenueaboutno aff
Marie-Christine Lambert-Perreault

Bibliographic record

VenueCuizine The Journal of Canadian Food Cultures · 2019
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Depuis les 25 dernières années, des écrivaines venues d’Asie publient en français au Québec et au Canada des oeuvres témoignant d’un « imaginaire trans-local » (Lequin, 2008), qui construit de la convergence et du décentrement. Si la représentation de la nourriture et de la sensorialité – souvent associées à l’identité et aux affects des protagonistes – commence à être étudiée chez Ying Chen ou Kim Thúy, la production d’Aki Shimazaki, écrivaine québécoise d’origine japonaise, a encore été peu envisagée dans cette perspective, et ce, même si le fait alimentaire est mentionné de manière ponctuelle dans la plupart de ses récits. Cet article étudie l’inscription littéraire de la nourriture dans les ensembles romanesques shimazakiens « Le poids des secrets » (1999-2004), « Au coeur du Yamato » (2006-2013) et « L’ombre du chardon » (2014-2018), dans la mesure où celle-ci est informée par l’expérience transculturelle vécue par l’auteure. Il fait valoir que les descriptions culinaires et alimentaires sont régies chez Shimazaki par une esthétique de la distance, qu’elles témoignent d’une proximité avec la nature, qu’elles obéissent à certains codes culturels et qu’elles sont ancrées dans l’espace social japonais (domestique, semi-public et public).

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: none
Teacher disagreement score0.961
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.004
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.207
Teacher spread0.189 · 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 routes2
Has abstractyes

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Same venueCuizine The Journal of Canadian Food CulturesSame topicCulinary Culture and TourismFrench-language works237,207