Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With more and more filmmakers taking advantage of its rich and varied settings, New has earned star-studded status as the 'Hollywood of the South'. From the big-screen adaptation of the stage classic A Streetcar Named Desire to the Elvis Presley musical King Creole, many well-known films have a special connection with the Big and this user-friendly guide explores the integral role of New in American film history. Film Locations: New Orleans features essays that reflect on the city's long-standing relationship with the film industry. Among the topics discussed are popular depictions of Hurricane Katrina on film, the prevalence of the supernatural in New cinema, and recent changes to city ordinances that have made New even more popular as a film destination. As the most frequently filmed area of New Orleans, the French Quarter is given particular attention in this volume with synopses of scenes shot or set there, including Big Easy, Interview with the Vampire, and the much-loved Bond film Live and Let Die. Additional synopses highlight numerous other film scenes spanning the city, and all are accompanied by evocative full-colour stills. The historic neighbourhoods and landmarks of New have provided the backdrop for some of the most memorable moments in film history, and Directory of World Cinema: New Orleans offers fans a guided tour of the many films that made the city their home.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.013 |
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 it