Bibliographic record
Abstract
This article seeks to further examination of clothing with respect to associated experience and memory. The focus is the historical and personal narrative of one sweater worn by a young Canadian, Leonard McCann (1927-2015), in a Japanese internment camp during WWII. Tracing the travel of the sweater from Canada via the Red Cross to Manila, increases awareness of the potential significance of apparently mundane items of clothing. The manner in which such items can contain or embody memory, beginning at the time of their making, enables study of one moment within a broader history of clothing. The story of McCann’s sweater moreover enables investigation of the connection between clothing and trauma. Indeed, it is hoped that this study can stimulate further consideration of the curation of such clothing so that the value of seemingly ordinary garments becomes established in the discourse of fashion theory and history. Relating both the familiar look of the sweater and the narratives attaching to it, reveals a sense of living memory that also permits understanding of complex socio-political conditions. Perhaps this approach can augment empathetic as well as critical praxis in the discipline.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".