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Record W4414760120 · doi:10.32873/uno.dc.jrf.29.02.05

Women’s Bonds and Chance Encounters: An Analogical Reading of the Book of Ruth and Joshua Marston’s Film Maria Full of Grace

2025· article· en· W4414760120 on OpenAlexaff

Bibliographic record

VenueJournal of Religion & Film · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsThe King's University
Fundersnot available
KeywordsReading (process)SolidarityStorytellingPower (physics)NarrativeClose readingLimiting

Abstract

fetched live from OpenAlex

This article offers an analogical reading of the biblical book of Ruth and Joshua Marston’s 2004 film Maria Full of Grace, examining how both narratives portray migrant women who form strategic social bonds to navigate precariousness within limiting power structures. While Ruth and María inhabit vastly different cultural and historical contexts, their stories meet in their emphasis on female solidarity and human agency. Focusing on key verses from Ruth and pivotal scenes from Maria Full of Grace, this study highlights how emotional and ethical relationships among women—whether covenantal or born of desperation—become sources of strength in the absence of explicit divine intervention. The article argues that both works foreground human initiative and resilience through depictions of chance, choice, and relational ethics, offering an insightful reflection on migration, gender, and the ways storytelling humanizes marginalized characters. By placing Ruth’s idealized loyalty alongside María’s morally complicated choices, this analogical reading illuminates each narrative’s distinct yet overlapping concerns with the struggles of the underprivileged and the relieving potential of women’s bonds.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.276
Teacher spread0.266 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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 routes1
Has abstractyes

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