Bibliographic record
Abstract
The present volume originally appeared as a special issue of the journal Biblical Interpretation and is being published in book form in response to the widespread interest in the subject of the Bible and film on the part of biblical scholars and students in recent years.The remarkable success of a film like Mel Gibson's The Passion of the Christ may have surprised some critics, but it testifies to the power of the Bible and biblical themes to attract widespread public interest and curiosity.Film is an extremely and increasingly influential medium, and the Bible is an influential text, both as read for itself and as it has entered the Western consciousness.Clearly, therefore, there is fruitful ground to explore in the interface between them.By featuring articles on a range of topics, each of which in its own way subjects connections between the Bible and its representation through film to careful and critical scrutiny, the present volume seeks to further this important area of inquiry.Investigations of the Bible as it is represented in film typically take two directions: analysis of films that retell or re-present the biblical story (from the biblical epics of the 50s and 60s to the recent extraordinarily successful The Passion of the Christ) or recast it (e.g., Jesus of Montreal and perhaps, arguably, The Life of Brian) and analysis of themes and allusions or character types in mainstream cinema, often, though not necessarily, where viewers themselves seem to find them (such as in The Matrix or Star Wars).The division of the present volume in two parts, 'The Bible in Film' and 'The Bible and Film', is intended to represent these two main directions, without, however, denying the overlap that exists between them.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.404 | 0.266 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".