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Record W2996014670 · doi:10.7202/1065000ar

History and Narrative in Japanese

2019· article· en· W2996014670 on OpenAlexvenueno aff
Chiyuki Kumakura

Bibliographic record

VenueSurfaces · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsAmbiguityNarrativeModernization theoryInterpersonal communicationPerspective (graphical)Isolation (microbiology)PerceptionPsychologyJapanese cultureSociologyCommunicationPhilosophyPolitical scienceArtJapanese studies

Abstract

fetched live from OpenAlex

This essay analyzes what Oe Kenzaburo (1994 Nobel laureate in literature) calls two opposing poles of ambiguity. The modernization of the Japanese language has been oriented toward learning from and imitating Indo-European languages (or Chinese), which permits one to make objective statements. Yet native Japanese (yamato kotoba) is unequivocally oriented by the speaker's standpoint which is naturally subjective, reflecting only his/her perceptions and judgments. To Oe, this ambiguous orientation of the Japanese language has forced its culture into obscurity and isolation. In my analysis, the "interpersonal" nature of Japanese (derived from the speaker orientation) and the interpersonal culture of Japan (derived from the language) have created a culture that appears ambiguous and may often be considered inscrutable from a European perspective. However, interpersonality as a feature of Japanese culture and in Japanese discourse is a new concept that deserves further examination.

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)0.002
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: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0070.013
Scholarly communication0.0080.006
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.212
Teacher spread0.193 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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