The Documentary Art of Filmmaker Michael Rubbo
Bibliographic record
Abstract
Michael Rubbo’s groundbreaking work has had a deep and enduring impact on documentary filmmaking worldwide, though his name has remained relatively unknown. In The Documentary Art of Michael Rubbo, author D.B. Jones traces Rubbo’s filmmaking from his days as a film student at Stanford, through his twenty years at the National Film Board of Canada, where Rubbo developed his distinct documentary style. Jones then describes Rubbo’s post-NFB venture into feature film directing, followed by Rubbo’s return to his native Australia, first as an executive with the Australian Broadcasting Corporation, and later as a director of feature-length documentaries and maker of short, personal films for YouTube. Exploring locales from Montreal to Vietnam, topics as diverse as plastic surgery and French Marxism, and from interviewing Margaret Atwood to documenting a failed attempt to interview Fidel Castro, Rubbo’s wide-ranging work establishes his innovative, personal, lyric, and spontaneous documentary style. In The Documentary Art of Michael Rubbo D.B. Jones reveals not only the depth of meaning in Rubbo’s films, but also the depth of their influence on filmmaking itself.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.008 |
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".