Filming Jesus: Between Authority and Heresy
Bibliographic record
Abstract
Scripture generally lacks all but the barest bones for constructing a watchable and interesting tale. In speaking scenes, there is not enough dialogue. In action scenes, the action is suggested rather than described. Information about dress, setting, weather, food, norms of social and religious behavior, emotions, personalities and many other aspects that go into the construction of film's "moving pictures" are simply lacking in the biblical material. The additions necessarily comprise interpretations made by the director, the writer, or the actors. They will be judged and are in danger of being deemed inaccurate, insensitive, or even heretical. The history of Christians protesting and picketing Jesus films, from King of Kings to Jesus Christ Superstar, to the portrayal of the church's disapproval in Jesus of Montreal, indicates that the charge of heresy is never far from movie depictions of Jesus. When a filmmaker successfully makes a movie authoritative, the audience is more likely to accept the film as a whole, and view its message as the message of Scripture, or at least as an acceptable interpretation of Scripture. When the film fails to make its presentation authoritative, the audience may question its interpretations. This usually results in the rejection of the film, and possibly even its labeling as heresy.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".