Northern Exposures: Photographing and Filming the Canadian North, 1920–45, by Peter Geller
Bibliographic record
Abstract
REVIEWS • 313 to shore and rebuilt for bush flying once more.As best the author can determine, the valiant and venerable AOP was retired only after eight more years of service, when dry rot in the wing spars made it impossible for Ontario authorities to issue a Certificate of Airworthiness.Rex Terpening's enthusiasm is not confined to things mechanical.Pilots Bill Spence and Matt Perry were bookends to his years as air engineer, and he regarded each of them highly.Terpening also admired the Inuit he encountered, both generally and specifically.His personal friend Tommy Tingmeak rated extended treatment (p.254 -265).Readers could be confused by the organization of this book.I was distracted by some of the text boxes, and I had trouble threading stories around these and other interruptions.Perseverance is rewarded, however, and the book's index helps keep chronological track of major events.Excellent black-and-white photographic images complement the author's crisp memory and writing to make his 1930s adventures more vivid.In keeping with the spare words of his book, I encourage readers to celebrate Mr. Terpening's ascent to Canada's Aviation Hall of Fame.Owning and reading his book will reward you with insights into events that richly deserve to be remembered.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 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".