Bibliographic record
Abstract
Frederick Coburn (1871-1960) was arguably Canada's best-known painter at the peak of his career. Nick Fonda revisits Coburn's work providing charming new insight into the painter and his surroundings. His method includes casting an inquisitive gaze on other accomplished artists who have followed unusual paths as they responded to the same muse that moved Coburn a century ago, Quebec's Eastern Townships. These include Minnie Gill, Denis Palmer, Mary Martin, Stuart Main, France Jodoin, and Keven Sonmor, and more. Based on interviews with neighbours and Coburn aficionados and Nick Fonda's own thorough understanding of the milieu in which Coburn grew up, lived, and worked, Hanging Fred and a Few Others is more than a biography of an important artist. It is also a lively and fascinating reflection on the role of place?the Eastern Townships?in an artist's life. F.S. Coburn, in addition to being a painter, was an accomplished photographer. Nick Fonda, with the help of Bob Laberge, also presents 14 photos from the family collection, all taken or inspired by Frederick Coburn.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".