Locating Family: Asian-Canadian Historical Revisioning in Linda Ohama’s <i>Obaachan’s Garden</i> and Ann Marie Fleming’s <i>The Magical Life of Long Tack Sam</i>
Bibliographic record
Abstract
This essay analyzes the family portrait documentary projects of two Asian Canadian filmmakers, Linda Ohama’s Obaachan’s Garden (2001) and Ann Marie Fleming’s The Magical Life of Long Tack Sam (2003) as projects that make family stories important sources for Asian Canadian historical revisioning. These documentaries blend private stories and public histories to rework historical inscriptions of Asian Canadian subjects, introducing them into the nation’s political and social records, inviting us to rethink the ways in which national histories have been articulated. The discussion of these documentary films focusses on the ways Ohama and Fleming use family stories—and the possibilities offered by film imagery—to recover and recreate the past, and to claim for their forebears and, by extension, for themselves, a place in Canada’s historical and cultural narrative of itself.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.041 | 0.016 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".