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Record W2074683617 · doi:10.1177/0008429811399998

Hindu Hair and Jewish Halakha

2011· article· en· W2074683617 on OpenAlexvenueno aff
Benjamin J. Fleming, Annette Yoshiko Reed

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsHinduismJudaismInterpretation (philosophy)IdolatryReligious studiesRelation (database)HistorySociologyPhilosophy

Abstract

fetched live from OpenAlex

This pair of essays reflects upon the unexpected encounter of Hindu and Jewish perspectives in the wake of the prohibition of wigs with human hair from India for use by Jewish women by prominent Haredi (‘‘ultra-orthodox’’) legal authorities in May 2004. The rulings sparked distress among Haredi communities in New York, London, and Jerusalem; some women took to the streets to burn their wigs, attracting international media attention. Yet questions about the status of the wigs also occasioned intensive halakhic discussions of Hindu rituals among Orthodox Jews, centered on tonsuring practices of pilgrims to the Ve kateśvara temple near the city of Tirupati in Andhra Pradesh, India. These essays explore some of the insights that arise when one examines the controversy from historical perspectives, and in relation to theoretical questions about comparison and the study of religions. The first essay focuses on the tensions surrounding hair and its interpretation within Vaisnavite textual traditions and ritual practices, while the second essay situates the controversy within the history of Jewish discourses about ritual, ‘‘idolatry,’’ and the ‘‘Other.’’

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.207
GPT teacher head0.414
Teacher spread0.208 · 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
Published2011
Admission routes1
Has abstractyes

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