Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The vast Canadian landscape has captured the imagination of visual artists since the first European contact. Although artistic engagement with the landscape has a long history, some periods have drawn considerable critical attention, while others have been left almost unexamined. Picturing the Land surveys work from coast to coast, from the earliest maps to postwar painting in English and French Canada, to provide a comprehensive view of Canadian landscape art. Emphasizing the ways in which social, economic, and political conditions determine representation, Marylin McKay moves beyond canonical images and traditional nationalistic interpretations by analyzing Canadian landscape art in relation to different concepts of territory. Taking an expansive and inclusive perspective on Canadian landscape art, McKay depicts this tradition in all its diversity and draws it into the larger body of Western landscape art, broadening the horizon of future study, appreciation, and criticism. Richly illustrated and filled with sophisticated and innovative commentary , Picturing the Land provides new and distinct histories of the landscape art of French and English Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it