Bibliographic record
Abstract
In 1969 Montreal's Karen Bulow Ltd., Canada's largest hand-weaving firm, was invited to act as a consultant for a proposed new industry in the Arctic.In June of that year I was hired as a project manager and I began product development in Montreal.I headed north the following February, full of excitement and ambition and into history.This was a trip that changed not only my life forever but also that of the entire community of Pangnirtung.Nestled at the edge of a majestic fjord, Pangnirtung (Panniqtuuq) was selected because the women were superb embroiderers, and of course, Inuit women everywhere possessed unparalleled sewing skills.The lives of the Inuit were fast changing, moving from their traditional ways to a more urbanized environment.Employment for the women was necessary.But hand-weaving?In a culture that had no tradition of fibre manipulation and had never seen a loom before?By mid-February the looms moved into action, translating the amauti sashes into ribbons of glorious colour and design.The first weavers -Meeka Akpalialuk, Classic Akulukjuk, Jeanie Dialla, and Peah Naulalik -were soon joined by Meeka Arnaqaq and in a month these amazing women were at a point that I hoped that they might be in six.We received a commission to make sashes for the Scouts for a jamboree.Special sashes were woven to present to Queen Elizabeth and her family, who came to celebrate the centennial of the Northwest Territories.History was happening.Initially, production items were the foundation of the studio, and it was important to have products that would logically come from the Arctic: blankets, scarves, parka braids, and so on.Everything had to be top quality, using exciting colour, material, and design, perfectly woven, and slickly labelled and packaged.What a compliment to receive a hesitant response from one retailer that he would try to sell the samples that I sent him, but he wasn't sure since "they are too good to have come from the north"!He reordered within a month!As the weavers' skill developed, it was natural to move into tapestry, where the wonderful imagery of the Inuit could be expressed in a new medium.Initial explorations showed a style akin to the Navajo with strong geometries and bold colours -exciting but perhaps not appropriate.Drawings were then purchased from the community.The weavers made their selection, chose the colours, and translated the images into tapestry.Wonderful domestic scenes blossomed from the looms.The reactions were positive and encouraging, but I was not satisfied.The tapestries needed drama and excitement.I approached Malaya Akulukjuk, a known shaman in the
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 teacher head, 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".