Bibliographic record
Abstract
MUMBAI INTERNATIONAL FILM FESTIVAL 2005 MAMI, the acronym for the body that organises the International Film Festival of Mumbai (IFFM), stands for Mumbai Academy of the Moving Image. That's a curiously old-fashioned name for a body that was set up only about eight years ago. Run by film-makers and technicians, as against the central government funded and organised International 7th Film Festival of India (IFFI), IFFM had its seventh staging last January 6-13 in Mumbai. IFFM had some good films, a centrally located venue and the ever-enthusiastic captive film-buff audience of India's film capital. It also had some glitches, little glamour, and very few foreign delegates. Lack of funds is the bane of every festival, and IFFM has always felt the pinch. Money comes from some sponsors, a state (local) government grant, co-organisers in the shape of the central government's National Film Development Corporation (NFDC) and the P. L....
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.404 | 0.152 |
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".