MétaCan
Menu
Back to cohort
Record W4414611708 · doi:10.1177/09518207251367408

The heroines are in the details: Rediscovering the women in the resurrection narratives

2025· article· en· W4414611708 on OpenAlexafffund

Bibliographic record

VenueJournal for the Study of the Pseudepigrapha · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsConcordia University
FundersFonds de Recherche du Québec-Société et CultureConcordia University
KeywordsNarrativeRedactionWitnessEarly ChristianityExtant taxon

Abstract

fetched live from OpenAlex

The four earliest extant resurrection narratives record that women find the empty tomb first. This consensus suggests that although the resurrection narratives diminish the roles of women in these scenes, women undisputedly witness the resurrection. The details of women’s authority and leadership that remain in the narratives preserve their primacy. Isolating these details reveals a pattern of gendered redaction in the three endings of Mark and the four canonical resurrection narratives that diminishes, obscures, and excises women from these texts. This study rediscovers these women. Buttressed by early Christian art, the details of women’s authority and leadership evince new evidence for Historical Jesus reconstructions of these events, the priority of the longer ending of Mark, vestiges of women’s leadership in early Christian worship, and a strong affirmation for the reliability of women’s witness. Analyzing redaction that erases women reveals that the heroines are in the details. By recovering women’s narratives, this article contributes to the study of ancient Jewish and Christian Pseudepigrapha by giving a model of how to recover women’s narratives in other literature as well.

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)0.004
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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.030
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0010.002
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 head0.031
GPT teacher head0.295
Teacher spread0.265 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal for the Study of the PseudepigraphaSame topicBiblical Studies and InterpretationFrench-language works237,207