Evan Lieberman (Cinematographer)
Bibliographic record
Abstract
Description Expertise Film Production, Film Studies and Screenwriting Professional Experience & Community Activities After spending a year on the road touring with a rock band, and quickly tiring of broken down vans, dive bars, and cheap motels, Dr. Lieberman was accepted at the American Film Institute’s Center for Advanced Film Studies where he earned an MFA in Screenwriting. He worked as a screenwriter for Trans-World Entertainment, TV-Ontario, and CFC, one of the leading motion picture studios in France. In addition his work as a producer-director for educational documentary Churchill Films garnered two blue ribbons at the American Film Festival. He was awarded a fellowship to pursue a PhD in Film Studies at Emory University in Atlanta where he remained to teach after getting his degree in 2000. Dr. Lieberman has written, produced, directed, and/or worked as director of photography on dozens of commercials, music videos, and short films as well as four feature films, Dirty, Drunk, and Heartbroke (1998), The Lady From Sockholm (2005), Stomp! Shout! Scream! (2006), and Kathy T (2007). He has published on a wide variety of subjects including situation comedies, cinematography, and Mexican wrestling movies, and his co-authored book with David Cook, The Moving Image is forthcoming from Oxford University Press Education Bachelor’s in Radio-Television-Film Journalism from the University of Georgia. MFA in Screenwriting the American Film Institute’s Center for Advanced Film Studies PhD in Film Studies at Emory University
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.270 | 0.119 |
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".