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Record W7013164628

Womanpriest

2020· other· en· W7013164628 on OpenAlexfundno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2020
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersMcGill University
KeywordsCognitive reframingOrder (exchange)ChristianityBishopsReform movementPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

"This book is openly available in digital formats thanks to a generous grant from the Andrew W. Mellon Foundation. While some Catholics and even non-Catholics today are asking if priests are necessary, especially given the ongoing sex-abuse scandal, The Roman Catholic Womanpriests (RCWP) looks to reframe and reform Roman Catholic priesthood, starting with ordained women. Womanpriest is the first academic study of the RCWP movement. As an ethnography, Womanpriest analyzes the womenpriests’ actions and lived theologies in order to explore ongoing tensions in Roman Catholicism around gender and sexuality, priestly authority, and religious change. In order to understand how womenpriests navigate tradition and transgression, this study situates RCWP within post–Vatican II Catholicism, apostolic succession, sacraments, ministerial action, and questions of embodiment. Womanpriest reveals RCWP to be a discrete religious movement in a distinct religious moment, with a small group of tenacious women defying the Catholic patriarchy, taking on the priestly role, and demanding reconsideration of Roman Catholic tradition. Doing so, the women inhabit and re-create the central tensions in Catholicism today."

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.430
Threshold uncertainty score0.813

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4300.258

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 head0.020
GPT teacher head0.262
Teacher spread0.241 · 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.

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
Published2020
Admission routes1
Has abstractyes

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