94 • REVIEWS IRENE AVAALAAQIAQ: MYTH AND REALITY. By
Bibliographic record
Abstract
Guelph commissioned three wall hangings and six draw-ings for its collection. Author Judith Nasby, director of the Centre, has illustrated these in her book, which in effect becomes the catalogue for this collection. Nasby is obvi-ously a staunch supporter and great admirer of Avaalaaqiaq’s work, having nominated her for the honorary degree. This volume is lavishly illustrated, with 27 colour plates of wall hangings and drawings, as well as 24 photo-graphs (16 black-and-white and 8 in colour) and a map of the Kivalliq region. The photographs are mainly of Avaalaaqiaq and her family, with some historic and ethno-graphic shots. For the person interested in Inuit art, Myth and Reality makes for easy, informative, and extremely interesting reading. When I first saw the book, I expected it to be just
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.039 | 0.048 |
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".