Eastern Arctic Kayaks: History, Design, Technique, by John D. Heath and E. Arima, with contributions by John Brand, Hugh Collings, Harvey Golden, H.C. Petersen, Johannes Rosing, and Greg Stamer
Bibliographic record
Abstract
Editors Heath and Arima are well known to most kayakers, scholars, and scientists around the world studying traditional and modern Inuit kayaks.They have worked together for over 20 years on Eastern Arctic Kayaks, and the result is truly an important contribution to kayak studies.It cannot be said that this is the book; nevertheless, their numerous lists of articles and the two classics The Bark Canoes and Skin Boats of North America (Adney and Chapelle, 1964) and Skinboats of Greenland (Petersen, 1986) provide most of what is to be said about kayaks, their form and function, history, and technique.E. Arima is known from several articles about the kayak, and particularly for Inuit Kayaks in Canada (1987) and Contributions to Kayak Studies, which he edited in 1991.John Heath died in 2003 at the age of 80, and it is sad to realize that he did not see the final result of his and E. Arima's exceptional co-operation.In memory of John Heath, a warm preface was written by Duncan R. Winning OBE, honorary president of both the Scottish Canoe Association and the Historic Canoe and Kayak Association.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.009 |
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".