Bibliographic record
Abstract
Nuu-chah-nulth First Nations hail from the West coast of Vancouver Island and according to their traditional beliefs, have occupied these territories since time immemorial. Like other Northwest Coast indigenous peoples, Nuu-chah-nulth social organization is complex and reflected in design practice and iconography. Families own crests, which are iconographic images that represent histories, rights, and privileges. This design is as a bridal gown that was worn at a potlatch in June 2018 that marked the nuptials of two elders: Naasquuisaqs, a highly ranked Hupacasath woman, and Tl’aakwakumlth, a man from Kyuquot and Nuuchatlaht Nations who holds a Ha’wilth (chief) position in the latter. The wedding gown was a collaboration between a non-Native designer who has worked as an anthropologist in this community for the past decade and a Native designer who is the Uncle of the bride. Naasquuisaqs traveled to the anthropologist’s university for a 4-day period over a long weekend and was body scanned. The body scan was used to manufacture a custom foam dress form in half scale, and the gown was created through draping on this form. The crest images were created by the bride's uncle to represent the unification of the two families, and were painted onto the gown. This creative design scholarship is the result of integrating ongoing ethnographic research, collaborative design practice, new technologies related to body-scanning and half-scale pattern development for custom design, and experiments in surface design techniques. The result acknowledges Nuu-chah-nulth histories and their ongoing cultural practices and iconography. This design also contributes to recent conversations on cultural appropriation by offering new possibilities and shows how collaborative ethnographic design research has the potential to create respectful cultural exchange and designed outcomes that honor and exemplify the cultures of origin.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".