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Record W762188711 · doi:10.5206/uwoja.v23i1.8955

Powers of the Dead: Struggles over Paper Money Burning in Urban China

2015· article· en· W762188711 on OpenAlexaff
Mingyuan Zhang

Bibliographic record

VenueThe University of Western Ontario Journal of Anthropology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsWestern University
Fundersnot available
KeywordsDichotomyChinaPower (physics)Subject (documents)SociologyGovernment (linguistics)Dead endObject (grammar)Political economyEnvironmental ethicsAestheticsPolitical scienceHistoryLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This paper explores how the Chinese customary ritual of burning paper money to commemorate the dead ancestors challenges the nature-culture dichotomy. The paper argues that the practice of burning paper money reflects a Chinese cosmology that is not based on a dichotomy between the living and the dead, instead, the dead is often mobilized to exert influential power over the living. The paper money that people use in such rituals are active actors that participates in people’s social, cultural and economic life. The paper also investigates how the conflict between government policy and traditional practice demonstrates that the modernists’ efforts to mobilize modern dichotomies have failed to triumph over the entanglement among networks of the living and the dead, the human and the spirit, the object and the subject, nature, culture, and super-nature.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.018
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.270
Teacher spread0.244 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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