Introduction: Film adaptation in the post-cinematic era
Bibliographic record
Abstract
Abstract In recent years, adaptation studies has emerged as a field of urgent scholarly importance and, having moved past outdated presuppositions and prejudices, has revealed adaptation as a crucial form of dialogue between and among different media, texts and social–historical contexts. The proliferation of new technologies and new media, theorized as the digital post-cinematic era, but encompassing more than what Costas Constandinides calls the ‘post-celluloid’ (2010: 3), has arguably deepened this importance, implicating adaptation in previously unconsidered cultural arenas. In their common emphasis upon post-millennial cinema, all four articles in this dossier are based in the recognition that it is no longer possible to conceive of filmic adaptation as a straightforward movement from page to screen; that therefore we must turn our attention to the role new media technologies play in processes of dialogic mediation and identity formation, in the production (and elision) of inter-subjective and cultural difference, in the shaping of cultural memory, and in the very question of defining cinema in the early twenty-first century.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".