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Record W4400038285 · doi:10.1215/23290048-11118498

Simian Episteme, circa 1200

2024· article· en· W4400038285 on OpenAlexaff
Jeehee Hong

Bibliographic record

VenueJournal of Chinese Literature and Culture · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsEpistemeGeologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Abstract This article examines intersensory practices between seeing and hearing surrounding the medium of painting in middle-period China. Deviating from the better-known pictorial practice in which a mimetic image of a sound maker provides an entryway into a fictive soundscape, the central work discussed in this article depicts only a listener, and an unusual one at that: a seated monkey at the intersection of poetic, religious, and ecological boundaries. Attentive to the puzzling nonhuman form of the represented subject as an unlikely listener, it probes how the interplay between seeing and hearing gave rise to a complex sonic environment in pictorial medium. The unveiling of the mixed modality steers us toward an underrecognized role of painting in Chinese history as a material stimulus for multisensorial experiences, beyond the rhetoric of “soundless poetry” that has often stifled such dynamic potential of the medium.

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)0.000
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 score0.172
Threshold uncertainty score0.574

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1720.058

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 head0.007
GPT teacher head0.221
Teacher spread0.215 · 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
Published2024
Admission routes1
Has abstractyes

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