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Record W2801401256 · doi:10.32873/uno.dc.jrf.22.01.33

The Problem with David: Masculinity and Morality in Biblical Cinema

2018· article· en· W2801401256 on OpenAlexaff
Kevin M. McGeough

Bibliographic record

VenueJournal of Religion & Film · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsMasculinityMovie theaterMoralityPsychoanalysisSociologyPhilosophyArtAestheticsPsychologyLiteratureEpistemology

Abstract

fetched live from OpenAlex

The King David of the Bible, and especially as portrayed in the books of Samuel, is one of the most complex characters in ancient literature. We are told his story from his youth as a shepherd until his death as king of Israel. He kills a mighty warrior with a slingshot, goes to war with his king and later his son, and has an affair that threatens to throw his kingdom into disarray. The stories surrounding David seem perfect for cinematic adaptation yet what makes this character so compelling has been problematic for filmmakers. Here, three types of Biblical filmmaking shall be considered: Hollywood epics (David and Bathsheba (1951), David and Goliath (1960), and King David (1985)); televised event series (The Story of David (1976) and The Bible: The Epic Miniseries (2013)); and independent Christian films (David and Goliath (2015) and David vs. Goliath: Battle of Faith (2016)). Issues that shall be considered include: tone and genre, casting, democracy and ideology, masculinity, and sexual morality. This investigation shall explore how these issues are treated in different types of Biblical filmmaking and how genre constraints impact the reception of David on film.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.024
Scholarly communication0.0120.005
Open science0.0010.004
Research integrity0.0020.003
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 head0.019
GPT teacher head0.251
Teacher spread0.231 · 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 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

Citations43
Published2018
Admission routes1
Has abstractyes

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