Contemporary eco-food films: The documentary tradition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACTThis article examines the central role food has played in documentary films as early as the Lumiere Brothers' 1895 view, Repas de bebe/Baby's Breakfast through the more recent eco-food films from United States, Canadian and European film-makers. Responding to non-fiction works of Michael Pollan, popular US documentaries such as Food, Inc. by Robert Kenner (2008) and King Corn by Aaron Woolf (2007) assert clear positions through their talking heads approach to exposition but draw on a limiting nostalgic view of food production. Austria's We Feed the World by Erwin Wagenhofer (2005) and multiple National Film Board of Canada documentaries, on the other hand, provide a depth of evaluation supported by multiple examples missing in both Food, Inc. and King Corn, yet weaken their arguments with an evenhanded approach to food ecology. Germany's Our Daily Bread by Nikolaus Geyrhalter (2005), however, comes closest to capturing the truth, offering fragmented observations that closely replicate the segmente...
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it