Reviews: Prime Time Soap Operas on indian Television, beyond a Joke: The Limits of Humour, Reading Little Britain: Comedy Matters on Contemporary Television, Media Audiences: Television, Meaning and Emotion, Music, Sound, and Silence in Buffy the Vampire Slayer, Seven Up!, Civilisation, Dexter: Investigating Cutting Edge Television, the Queer Politics of Television, Queer TV: Theories, Histories, Politics, Gender and Sexuality in Star Trek: Allegories of Desire in the Television Series and Films, Invasion of the Mind Snatchers: Television's Conquest of America in the Fifties, Dangerously Funny: The Uncensored Story of the Smothers Brothers Comedy Hour, the War for Late Night: When Leno Went Early and Television Went Crazy, Satire TV: Politics and Comedy in the Post-Network Era, Small Screen, Big Picture: Television and Lived Religion, beyond Prime Time: Television Programming in the Post-Network Era
Bibliographic record
Abstract
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
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 | 0.026 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".