MétaCan
Menu
Back to cohort
Record W3126329931 · doi:10.3138/jrpc.2019-0011

DeMille-the-Businessman and the Mini-Me Mirroring of Samson in Young Saul within<i>Samson and Delilah</i>

2021· article· en· W3126329931 on OpenAlexvenueno aff
Anton Karl Kozlovic

Bibliographic record

VenueJournal of Religion and Popular Culture · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Movements and Cultural Identity
Canadian institutionsnot available
Fundersnot available
KeywordsFilm directorHollywoodParallelsAppealHEROHumanismBox officeArtCriticismAestheticsLiteratureArt historyMovie theaterPhilosophyEngineeringLawTheologyAdvertisingPolitical science

Abstract

fetched live from OpenAlex

Legendary producer-director Cecil B. DeMille was a master of the American biblical epic and a devout Hollywood businessman whose films inspired numerous extra-cinematic products plus screen characters designed to match market demographics whilst promoting public piety. For example, his main biblical protagonists within his family-friendly Samson and Delilah were crafted to appeal to adult audiences, but it is argued that DeMille also meticulously crafted young Saul (Russell Tamblyn) as a mini-me mirror of Samson (Victor Mature) to directly appeal to his youthful audiences, thereby assisting box office sales and helping shape US Christian culture. DeMille’s filmmaker status, businessman background, and ten Samson-Saul parallels are explicated here, guided methodologically by humanist film criticism plus a selective review of the critical literature. This original investigation reveals that DeMille was a far more insightful, creative, and business-savvy filmmaker than previously acknowledged. Further research into DeMille studies, biblical epics, and the emerging interdisciplinary field of religion and film is recommended.

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)0.002
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 score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.005
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
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 head0.015
GPT teacher head0.291
Teacher spread0.275 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Religion and Popular CultureSame topicSocial Movements and Cultural IdentityFrench-language works237,207