North as Nature: An Ecocritacal Analysis of Royal Canadian Air Force Photography and Leslie Reid's Mapping Time
Bibliographic record
Abstract
A semiotic analysis of visual narratives, this thesis explores representations of Arctic landscape to uncover discourses of North and Nature.In the mid-twentieth century, the Royal Canadian Air Force (RCAF) was tasked with photographing the Canadian Arctic to construct accurate maps of the region.And, following a residency with the Canadian Forces Artists Program in 2013, contemporary artist Leslie Reid began an ongoing series of paintings and photo-mosaics: Mapping Time.This trans historical thesis is dedicated to an ecologically sensitive approach and considers how aerial photographs of the RCAF not only represent space, but also construct narratives of Canadian sovereignty and contribute to an idea of North as Nature.Integrating examples of RCAF photographs into her photomontages, Reid asks viewers to contemplate the history of Arctic mapping and her paintings welcome a critical approach to representations of place, space, and landscape.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.023 | 0.023 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".