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Record W837219740 · doi:10.1163/9789004271371_006

Only Skin Deep: Revising the Secular Narrative through Circumcision

2014· book-chapter· en· W837219740 on OpenAlexaff
Amélie Barras, Dia Dabby

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsMcGill University
Fundersnot available
KeywordsNarrativeSecularismGermanContext (archaeology)Gender studiesMale circumcisionSociologyHistoryPolitical scienceLawArtLiteratureDemographyPopulationHealth servicesPolitics

Abstract

fetched live from OpenAlex

This chapter addresses the question why male circumcision (MC) has been narrated as a bodily practice in ways that are different from female circumcision. Employing the recent German case on circumcision as the gateway to a broader transnational discussion, it posits that MC has been constructed as part and parcel of contemporary dominant secular narratives found within the particular context of North America and Western Europe, where it is framed as an accepted form of religious freedom. MC can be understood as generally falling under one of two camps: therapeutic circumcision and non-therapeutic circumcision. The chapter draws a theoretical framework that looks at how secular narratives can influence the way religious freedom is constructed. In many of the reactions to the Cologne ruling, religious freedom is mobilized to question attempts to challenge MC. The chapter examines how arguments on secularism can reveal issues that are further than only skin deep. Keywords: Cologne ruling; female circumcision; German case; male circumcision (MC); religious freedom; secular narratives

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.851
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.068
GPT teacher head0.264
Teacher spread0.196 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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