'Are You There God?': Secularization of Religious Narratives in Contemporary Cinema
Bibliographic record
Abstract
The budding field of religion and film has almost exclusively consisted of works by religious studies scholars.The objective of this thesis is to approach religion and film from a film studies standpoint, with a focus on narrational, stylistic, and genre analysis.The films explored, Silent Light (Carlos Reygadas, Mexico, 2007), Requiem (Hans-Christian Schmid, Germany, 2006), and Take Shelter (Jeff Nichols, USA, 2011), are not a part of the popular Western cinema that dominates religion and film discourses.These independent works about resurrection (Silent Light), possession (Requiem), and apocalypse (Take Shelter) secularize the religious element of their respective narratives, and as a result, there is room for doubt, hesitation, and a variety of interpretations.The ambiguous sensibility of these films is crucial to this thesis, which aims to complicate the notion of the "religious film."
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".