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Record W2508424037 · doi:10.32873/uno.dc.jrf.13.02.05

God in the Details: The Cleansing of the Temple in Four Jesus Films

2009· article· en· W2508424037 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Religion & Film · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Movements and Cultural Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHistorical JesusTemptationArtSuperstarLiteratureTheologyPhilosophyArt history

Abstract

fetched live from OpenAlex

An effective technique for teaching religion/theology students the virtues of "close reading" of films and the various techniques by which filmmakers communicate meaning to their audiences involves the comparison of the same biblical scene in different filmed versions of the life of Jesus. Students can learn to appreciate the significance of the various theological and aesthetic choices a particular Jesus film represents by becoming aware of the very different choices made by the makers of other Jesus films. The scene used to illustrate this technique in this paper is the cleansing of the Temple, and the films whose portrayal of this scene are analyzed are The Last Temptation of Christ (1988), The King of Kings (1927), Jesus Christ Superstar (1973), and Jesus of Montreal (1989).

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)0.003
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 score0.010
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.005
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.321
Teacher spread0.286 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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