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Record W6946740296 · doi:10.34944/dspace/2921

Captivity and Conflict: A Study of Gender, Genre, and Religious Others

2015· other· en· W6946740296 on OpenAlexfundno aff

Bibliographic record

VenueTUScholarShare (Temple University) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersYork University
KeywordsCaptivityNarrativeAmbivalenceSilenceUncannyOrder (exchange)Intervention (counseling)

Abstract

fetched live from OpenAlex

This project considers questions of religious othering in the contemporary United States through the lens of popular post-religious narratives. These narratives salaciously depict mistreated women in order to demarcate certain religions as deviant; authors and pundits then use these narratives in order to justify outside intervention in specific religious communities. By closely analyzing a selection of contemporary narratives written about women from Muslim and fundamentalist Mormon communities with special attention to both the feminist enactments and tropes of captivity which permeate these texts, this project challenges simplistic portrayals of religious Others. In doing so, the analysis draws the reader's attention to the uncanny imitations in many of these texts: in arguing that certain religions "capture" their female adherents, authors of contemporary captivity narratives silence the voices of women whose stories they seek to illuminate. The dissertation also explores the ambivalent content of many of these narratives. When read against the grain, captivity literature offers surprising opportunities for nuanced explorations of religion, gender and agency.

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)0.004
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.012
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.268
Teacher spread0.199 · 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
Published2015
Admission routes1
Has abstractyes

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