Bibliographic record
Abstract
The relationship between the documentary film form and the corresponding soundtrack is largely predicated on the film’s themes and generally does not involve the music soundtrack form. The Australian feature film, Boxing Day employs high definition video to allow the narrative action to be captured in a real time documentary format, with only 4 edits throughout the piece. To musically interpret and respond to the events of this documentary narrative formed the basis of this research.\n\nAlthough this documentary process would not normally involve a music soundtrack, it was felt necessary by the director to add music sparingly after the filming took place. In order to preserve the intellectual integrity of the film, the soundtrack to Boxing Day created by Tom Ellard was composed and recorded music on the real Boxing Day 2006, at roughly the time when the virtual events unfold onscreen. This recording was supplied to the director for the final edit in January 2007. \n\nThe Film Boxing Day has been reviewed on popular television show At the Movies, and in the publications The Age, The Sydney Morning Herald and The Hollywood Reporter. The film was shown at the Pusan International Film Festival and The Montreal Festival of New Cinema.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".