Bibliographic record
Abstract
Since his drowning in 1917, Tom Thomson has been recreated by poets, playwrights, novelists, filmmakers, biographers, and other artists as a legendary figure synonymous with Canada and its northern identity. Touted as a great artist cut off in his prime, his mysterious death in Canoe Lake, Algonquin Park, and the controversy about his final resting-place fired the popular imagination and raised him to the status of a national hero. In "Inventing Tom Thomson" Sherrill Grace examines many of the ways in which the figure of Thomson has been imagined by Canadians. Even people who do not know his paintings well will recognize "The Jack Pine" and know his legend through the marketing of Thomson memorabilia on the Web, in museums, and in stores. Grace suggests that the figure we have come to recognize as Tom Thomson is inextricably associated with many of the qualities that we believe characterize Canadian culture - love of the wilderness, northern purity, solitary independence, and a masculine ability to canoe, camp, fish, and rough it in the bush. "Inventing Tom Thomson" is about those artists who have felt compelled to imagine their own Tom Thomsons and about what the man has come to represent to the culture at large - it is about us and how the stories about this exceptional painter have shaped our sense of who we are as a nation.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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".