Capitalism and its Discontents: An Interview with MIke Hoolboom
Bibliographic record
Abstract
I sat with Mike Hoolboom at the International Film Festival Rotterdam (IFFR) in January 2020, after the premiere of Judy versus Capitalism (2020), an hour-long political bio of radical Canadian activist Judy Rebick. I had already seen the film online but was interested in the crowd reaction to the film given it was not a typical political documentary. I was also familiar, since the early ‘90s, with Hoolboom’s long history of engagement and prolific production with artist film culture.\n \n Last year at IFFR, Hoolboom screened 27 Thoughts About my Father (2019), which features his own articulate ruminations on his father’s memory, who passed away in 2017. In Judy versus Capitalism, Judy Rebick’s stirring and personal voice drives the narrative and Hoolboom’s skills in shaping rhythm and organising his images to process emotion, developed over decades of film production, amplifies Judy’s story.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.011 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".