Challenging History: Educating the Public about the Japanese Canadian Experience in British Columbia
Bibliographic record
Abstract
ABSTRACTThis paper argues that a shared reluctance to confront the causes and consequences of historical injustices endured by ethno-cultural minorities has hampered efforts by educators and activists in British Columbia to inform the public about Japanese Canadian internment during World War II. This reluctance was felt keenly by internment survivors, whose sense of trust in the wider civic community has not yet been re-established. Meanwhile, a desire to “turn the page” on past wrongs — for fear that drawing attention to such episodes generates inter-ethnic tension rather than promotes unity amongst Canada’s multicultural populace — has hindered federal and provincial involvement in educational activities related to WWII internment. Yet as this study suggests, refusal to participate in collective renegotiations of public memory about historical injustices does little to repair the relationship between the wronged group and wider public, or to prevent similar injustices from occurring again in the future.RÉSUMÉCet article décrit les efforts entrepris par des éducateurs et des activistes pour informer la population de la Colombie Britannique au sujet de l’internement des Canadiens d’origine japonaisependant la Seconde Guerre mondiale. Ils durent faire face à une forte résistance du public qui refusait de confronter les causes et les conséquences des injustices subies par les minorités ethnoculturelles à cette époque. Les victimes de l’internement ont ressenti vivement cette dénégation d’autant plus qu’ils n’ont pas réussi à rétablir complètement la confiance au sein de la collectivité. En même temps, l’envie de « tourner la page » sur les maux du passé — motivée par la crainte que le fait d’attirer l’attention sur de tels épisodes génère de la tension interethnique au lieu de promouvoir l’unité dans une population multiculturelle — a fait obstacle aux activités éducatives mises en place par les gouvernements provincial et fédéral quant à l’internement. Mais, comme le suggère cette étude, le refus collectif d’affronter ces injustices historiques nepeut que nuire au rapprochement entre le groupe lésé et la société toute entière ainsi qu’à la prévention de telles injustices dans l’avenir.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.071 | 0.013 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".