Bibliographic record
Abstract
TORONTO INTERNATIONAL FILM FESTIVALToronto’s 38th edition (5–15 September 2013) was as big and diverse as its ambitions allowed, but its stubborn public image partial to Euro-American content continues to weaken its “international” status. The festival hasn’t struck a respectable balance between indulging the puffery of dominant film industries and supporting lesser-known cinemas. Indeed, this year’s milestones went largely unplugged. There were encores: at least five directors – Hong Sang-soo, Kurosawa Kiyoshi, Kim Ki-duk, Brillante Mendoza and Sono Sion – returned with films for the second year running. There was discontinuity: Miyazaki Hayao and Tsai Ming-liang delivered what could be their last features after retiring. There was politics that ordained merit: no film was as insincerely hyped as 12 Years a Slave, Steve McQueen’s take on Solomon Northup’s 1853 autobiography about chattel slavery – a lifeless adaptation writ large given this skeleton’s dead weight. On the other hand,...
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.691 | 0.379 |
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".