Bibliographic record
Abstract
INTERNATIONAL FILM FESTIVAL OF INDIA, GOA 2005 At the inaugural function of International Film Festival of India 2005, on 24 November, there were some more high points and some lessons to be learnt. On the dark side were the disappointing audio-visual, the technical problems with digital sound, wrong cues and the length of the show itself. Sound played havoc for nearly half an hour, crackling and going silent in turns. Choice of the items and costumes ranged from the kathak dance, Mughal period style, to Bollywood item numbers of the 21st century, to a rap-kathak fusion! On the bright side, octogenarian actor-director-producer Dev Anand, known for his now jaded romantic on-screen escapades with actresses one-fourth his age, gave a compact speech, without the stylised diction he is known for. It was not easy getting a seat at the screenings held at the INOX multiplex cinemas, especially built at the...
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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 | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.251 | 0.122 |
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".