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Record W2920269820 · doi:10.4000/extremeorient.930

Composé en rêve… Enquête sur l’émergence et les valeurs d’un motif poétique du début de la dynastie des Song à la pratique de Su Shi (1037-1101)

2018· article· fr· W2920269820 on OpenAlexaff
Stéphane Feuillas

Bibliographic record

VenueExtrême-Orient Extrême-Occident · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Dès le début de la dynastie des Song du Nord (960-1129) apparaissent des poèmes sobrement intitulés « composé en rêve » (meng zhong zuo 夢中作). Le plus souvent, ils se présentent non comme la réécriture d’un rêve mais comme une création poétique dont rarement plus d’un seul vers est directement issu d’une parole surgie lors d’un rêve effectif. La présente enquête entend se consacrer à l’émergence de ce motif poétique depuis la dynastie des Song jusqu’à la pratique plus constante par Su Shi 蘇軾 (1037-1101), dont plus d’une vingtaine de pièces portent ce titre. Sont ainsi étudiés quelques poèmes significatifs, du premier répertorié de Diao Kan 刁衎 (954-1013) à ceux d’Ouyang Xiu 歐陽修 (1007-1072) ou de Mei Yaochen 梅堯臣 (1002-1060), avant d’analyser la reprise de ce motif par Su Shi. Il s’agit de s’interroger essentiellement sur la mise en espace poétique du rêve : la fabrique de ce qu’on pourrait appeler l’« écrin poétique » de la parole onirique, la mise en scène des effets d’étrangeté et du statut du rêveur, aussi bien que des thèmes privilégiés dans les poèmes portant ce titre.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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
GenreEmpirical

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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