Looking in Stereo: School Photography, Interracial Intimacy, and the Pulse of the Archive
Bibliographic record
Abstract
This article examines the visual genre of the school photograph in order to reflect on the promise of transcolonial methodologies for thinking about the history of race and belonging in Canada. It focuses on four photographs of schoolchildren taken at around the same time in a range of locations across the British Empire. All feature Chinese children in close proximity to black, South Asian, or white peers. Seeking to understand how the photographs resonate with one another as representations of encounters between Asian and other racialized child subjects—divisions of class, location, and migration history notwithstanding—I develop a transcolonial methodology that is attentive to the (counter)institutional workings of rhythm and repetition as engines of community formation. Such a practice, I suggest, allows for rhythms to emerge that resist alignment with the pedagogical dictates of national time, as exemplified by national celebrations of Canada 150.
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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 | 0.001 | 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 | 0.001 | 0.005 |
| 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".