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Record W2334659966 · doi:10.1111/rsr.12318

The Body in Biblical, Christian and Jewish Texts Edited by Joan E.Taylor. Library of Second Temple Studies, 85. London: Bloomsbury T & T Clark, 2014. Pp. xiii + 267; plates. Cloth, $126. Paper, $38.95.

2016· article· en· W2334659966 on OpenAlexaff
Callie Callon

Bibliographic record

VenueReligious Studies Review · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsQueen's University
Fundersnot available
KeywordsJudaismIdeologyAppealPraxisClassicsVariety (cybernetics)HistoryRelation (database)JosephusSociologyLiteratureTheologyPhilosophyArtPoliticsEpistemologyLaw

Abstract

fetched live from OpenAlex

This collection of eleven essays originated as part of a collaborative symposium at King's College London. It features the work of many emerging scholars, and the numerous fresh and innovative treatments of the primary texts reflect this. The volume is interdisciplinary, resulting in a wide range of multifaceted perspectives on issues pertaining to the body in relation to religious ideology in early Judean and Christian texts. The authors respectively utilize several different methods and theories in their work, ranging from literary and historical approaches from ritual theory to sexual and gender studies. The primary sources addressed are themselves also diverse, including both canonical and apocryphal texts, the works of Josephus, and early rabbinic writing. What unites the work as a cogent whole are the new insights into the interplay between culture and religion when texts that address the body—theorized, literary, or actual—is given the scholarly attention it warrants. The variety of the contributions will ensure that this is a volume that will appeal to many, and it is highly recommended to scholars interested in the significance of the body for religious thought and praxis in the ancient Mediterranean.

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0020.004
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.030
GPT teacher head0.278
Teacher spread0.248 · 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
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

Citations0
Published2016
Admission routes1
Has abstractyes

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