Foreign Encounters: The Political and Visual Aesthetics of Humanitarianism in Contemporary Canadian Film Culture
Bibliographic record
Abstract
abstract This essay examines the visual politics of Patrick Reed’s documentary Triage: Dr. James Orbinski’s Humanitarian Dilemma (2008) and Larysa Kondracki’s feature film The Whistleblower (2010). Both of these films investigate the relationship between aesthetics and politics, the encounter with the other, and what Jacques Rancière calls ‘the distribution of the sensible.’ In contrast to Rancière, this essay explores how the redistribution of the sensible operates through the highly racialized, gendered, and spectacular technologies of humanitarian film productions. It examines what it means to encounter the other not as a human being but as a visual image, and explores the relationship between the economics of the image (the abject as coded in the trafficked foreign female body) and the consumers and agents of visual abjection in the context of humanitarian interventionism. It rereads Rancière’s notion of dissensus in gendered terms, and thus seeks to unsettle given modes of the humanitarian spectacle.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.028 | 0.037 |
| Scholarly communication | 0.014 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".