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Record W2996000902 · doi:10.7202/1064994ar

Disorientations: Chinese Literature in the American University

2019· article· en· W2996000902 on OpenAlexvenueno aff
Pauline Yu

Bibliographic record

VenueSurfaces · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)ExceptionalismEssentialismPhilologyHumanismEpistemologySociologyFunction (biology)EurocentrismChinaAestheticsHistoryPolitical scienceLawPhilosophyGender studiesAnthropology

Abstract

fetched live from OpenAlex

This paper examines the various scholarly and institutional mediations by which Chinese literature has been studied in the West, starting with the governing assumptions of nineteenth-century European philology and moving to the defense-strategical motivations behind the development of area studies programs after World War II, to the burgeoning of East-West comparative literature, and finally to the often concealed, but usually overtly universalizing presumptions of contemporary Western theory. While I do not wish to argue for a parochial cultural essentialism or exceptionalism that would insulate Chinese literary traditions from the analytical tools of Western academic practice, I do feel that concepts with claims to be "global" have not really been seriously tested by works embedded in very different histories and contexts, and questions about the function and nature of humanistic discourse have been assumed to be transportable rather than subject to confrontation and transformation from those works. Finally, I point out how the asymmetry in this relationship between Western theory and other traditions has been institutionalized in the typical departmental structure of the American university, a situation that is only now being subject to challenge.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.270
Teacher spread0.261 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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