Bibliographic record
Abstract
Treatment and Script In 1882 a young Jamaican travels to Panama to work on the Canal, in his struggle to survive he finds that capitalism is another type of slavery.” Freeman is co-written with Adrianne Arendse, a 7-part episodic TV series developed to the industry standard of show 'bible' and pilot episode. The project was submitted to two of the largest US script competitions, Screencraft and Shore Scripts, achieving quarter and semi-final placings respectively, and favourable coverage from studio readers. The project has produced research findings that give insight into the route to market for writers in modern day Hollywood. Ancillary outputs include a Coverfly presence for the project (at time of submission it ranked in the top 4% of screenplays) and valuable insights into the requirements and standards expected of speculative scriptwriting. These insights have fed into the Film BA(Hons) modules Production Cultures 1, and Skills Development, with teaching material drawing on both the show ‘bible’, script, web presence, studio notes and coverage scores, giving students an up to the minute model of how to approach the Hollywood studio industry as a speculative scriptwriter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.163 | 0.035 |
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".