The Power of the Diegetic Paradigm: How the Cinematography of “Marry Shelley’s Frankenstein” Reinforces Its Pre-Text On-Camera
Bibliographic record
Abstract
The film Mary Shelley's Frankenstein by Kennet Branagh strongly emphasizes the social, political and cultural concerns of the author Mary Shelley.Branagh employs cinematography to refer to the pre-text and its main ideas implicitly or explicitly.His adaptation, indeed, differs from the plot in the novel, however, Branagh still manages to reinforce Mary Shelley's discussion in her novel thanks to semiotics.In this case, Branagh expresses what he grasps from the novel by creating his own imagery through cinematographic elements such as camera angles and gaffing.With the help of cinematography, Branagh remains loyal to Mary Shelley's novel since he extends Shelley's concerns and discusses them according to his own time.Even though the plot changes, which cannot be a concern in adaptation theory, Branagh still reflects Mary Shelley's characters remaining loyal to the origin
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.042 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".