On true meaning(s) and the impossibility of documentary in the films of Jennifer Baichwal
Bibliographic record
Abstract
Canadian filmmaker Jennifer Baichwal has made a remarkable series of feature documentaries that have until now received little scholarly attention, though they have circulated widely at film festivals, theatrical screenings and on broadcast television.These films: Let It Come Down: The Life of Paul Bowles, The Holier it Gets, Shelby Lee Adams' Appalachia: The True Meaning of Pictures, Manufactured Landscapes, Act of God, Payback and Watermark operate against the grain of informational instrumentalism associated with conventional documentary.They are playful and meditative explorations of the relationship between human culture, the built environment and forces of nature.This essay surveys recurring themes, strategies and issues across this body of work and situates this filmmaking practice within the oral tradition as described by Canadian thinker Harold Innis.
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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 | 0.026 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.032 | 0.106 |
| Scholarly communication | 0.020 | 0.016 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".