Animating Exclusions: Ali Kazimi’s <i>Continuous Journey</i> and the Virtualities of Racialized Exclusion
Bibliographic record
Abstract
In his 2004 documentary Continuous Journey, Ali Kazimi employs an innovative aesthetic of animated archival material to draw out the often suppressed links between the continuous-journey regulation of the 1908 Immigration Act and the Safe Third Country Agreement passed between Canada and the U.S. (2004). Tak-ing the links between these two landmark policies as its point of reference, this essay draws out both Kazimi’s provocative animation of Canadian immigration history and the virtualities of racialization and exclusion (Deleuze 1994). First, we consider the virtual aspects of the exclusions of Canadian immigration and refugee policy. Continuous Journey actualizes and reanimates the virtualized leg-acies of these exclusions in a manner that challenges Canada’s celebratory mythos of inclusivity and its denial of racialized practices. We also examine Kazimi’s inter-vention within intercultural video art and its mobilization of tactics of virtuality within discourses of anti-imperial transnationalism.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".