Bibliographic record
Abstract
Artist and educator Lionel LeMoine FitzGerald (1890–1956) was the only member of the Group of Seven, the iconic collective of Canadian landscape painters, who was based in Western Canada. Some Magnetic Force is the first collection to gather the surviving writings by the Winnipeg artist. Spanning from 1930 to 1954, the texts gathered here begin during the mature period of his artistic development at age forty and conclude with personal reflections late in life on the nature of art and his career. Michael Parke-Taylor has uncovered and chronologically organized FitzGerald’s letters, diary, lectures, and reports to show how FitzGerald understood the development of his practice, communicated the philosophy of art to his art students, confronted challenges in his career, and presented his spiritual aspirations, views about the natural world, and private desires. These writings also elucidate the material and reputational realities of artistic production in places beyond the period’s dominant Canadian art centers of Toronto, Montreal, and Ottawa. Including illustrations of his work and an introduction and notes that contextualize FitzGerald’s biography and social circles, Some Magnetic Force provides remarkable insights into the influences, interests, and innovations of the Group of Seven’s prairie artist.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.009 |
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".