Bibliographic record
Abstract
A geographer with extensive research experience in the Canadian North, Jack D. Ives has written a lively and informative account of several expeditions to Baffin Island during the "golden age" of federal research. In the 1960s, scientists from the Geographical Branch of Canada's Department of Energy, Mines, and Resources travelled to Baffin to study glacial geomorphology and glaciology. Their fieldwork resulted in vastly increased knowledge of the Far North-from its ice caps and glaciers to its lichens and microfossils. Drawing from the recollections of his Baffin colleagues as well as from his own memories, Ives takes readers on a remarkable adventure, describing the day-to-day experiences of the field teams in the context of both contemporary Arctic research and bureaucratic decision making. Along the way, his narrative illustrates the role played by the Cold War-era Distant Early Warning Line and other northern infrastructure, the crucial importance of his pioneering aerial photography, the unpredictable nature of planes, helicopters, and radios in Arctic regions, and of course, the vast and breathtaking scenery of the North. Baffin Island encompasses both field research and High Arctic adventure. The research trips to Baffin between 1961 and 1967 also served as a vital training ground in polar studies for university students; further, they represented a breakthrough in gender equality in government-sponsored science, thanks to the author's persistence in having women permitted on the teams. The book contains a special section detailing the subsequent professional achievements of the many researchers involved (in addition to the later career moves of Ives himself) and a chapter that delves deeper into the science behind their fieldwork in the North. Readers need not be versed in glaciology, however. Ives has produced a highly readable book that seamlessly combines research and adventure.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.030 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".