Bibliographic record
Abstract
HIGHLIGHTS FROM THE TORONTO INTERNATIONAL FILM FESTIVAL 2007 With a festival as big as Toronto's, pinning down a general theme about its line-up each year would seem to defy its promise of something-for-everyone, as this year's slate of 349 films from 55 countries showed. Although larger media outlets named discernible themes among the festival's subsections anyway - "frustrated youth" for one; "war in Iraq and global terrorism" for another, the most engaging films this year were apt to be foremost of all, engaging and well-told stories. Here are ten examples: 4 Months, 3 Weeks and 2 Days (Cristian Mungiu, Romania 2007)The waning period of the Ceausescu regime sets the stage for a young woman's labours to arrange a back-alley abortion for her college roommate. Although the illegality of the undertaking furnishes much of the plot's intrigue, the film's gravitas owes much to Mungiu's calibrated direction, which eschews reactionary...
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".