Bibliographic record
Abstract
This research explores kitsuke (kimono and the art of wearing kimono) as a source of cultural knowledge, identity, and power amongst Japanese-Canadian/Nikkei women today. Focusing on women with ties in the Greater Toronto Area, we attempt to defetishize the idea that kimono and the people who wear them are “traditional” and “never-changing.” In examining the collective narratives that shape the history of many Nikkei women, we found that the highly visual and symbolic nature of the garment made the kimono a sort of “universal heirloom,” in which memories and culture are stored amongst our participants as an item that could be used to “perform” their cultural identities. We conducted semi-structured interviews over the phone and Zoom video conferencing software with Japanese-Canadian women above the age of 18. Books, newspapers, digital museum archives and their curators, etc. helped consolidate the history of kimono and contextualize the interviews.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.039 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".