MétaCan
Menu
Back to cohort
Record W2980799825 · doi:10.3390/rel10100588

Gender and Superstition in Modern Chinese Literature

2019· article· en· W2980799825 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReligions · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsSuperstitionChinaOrientalismManifestoHistoryLiteratureSociologyPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

This article offers a new perspective on the study of the discourse on superstition (mixin) in modern China. Drawing upon recent work on the import of the concept “superstition” to the colonial world during the 19th century, the article intervenes in the current study of the circulation of discursive constructs in area studies. This intervention is done in two ways: first, I identify how in the modern era missionaries and Western empires collaborated in linking anti-superstition thought to discourses on women’s liberation. Couched in promises of civilizational progress to cultures who free their women from backward superstitions, this historical connection between empire, gender and modern knowledge urges us to reorient our understanding of superstition merely as the ultimate other of “religion” or “science.” Second, in order to explore the nuances of the connection between gender and superstition, I turn to an archive that is currently understudied in the research on superstition in China. I propose that we mine modern Chinese literature by using literary methods. I demonstrate this proposal by reading China’s first feminist manifesto, The Women’s Bell by Jin Tianhe and the short story Medicine by Lu Xun.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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