Al Purdy, Marius Barbeau, and the Northwest Coast: A Bibliographical Note on a Forgotten Manuscript
Bibliographic record
Abstract
The numerous books of the poet Al Purdy (1918–2000) are well known to readers of modern Canadian literature. His extensive archives conceal many unnoticed works, however, and the true extent of his literary career can only be seen when the unpublished writing is brought into view. A manuscript from the early 1960s – “Yehl the Raven and Other Creation Myths of the Haida” – illustrates the importance of the archives to studies of his life and works. The obscure sequence of poems demonstrates Purdy’s ethnographic interests and represents a point of contact between modern Canadian literature and mid-century anthropology. It also shows Purdy to have been engaged, for a time, in a manner of writing that was largely distinct from the autobiographical, anecdotal mode that typifies the poetry on which his reputation rests. He wrote his “Creation Myths” by adapting narratives found in the studies of Marius Barbeau (1883–1969), the Canadian folklorist and ethnographer. He attempted to publish the resultant poems as a short book, but “Yehl the Raven” never appeared in print, and although the manuscript has not been utterly invisible to Purdy’s colleagues and critics, it has been mischaracterized, unappreciated, and essentially overlooked. Nor have its origins and virtual disappearance yet been explained. This brief essay consequently examines the manuscript and suggests why it merits critical attention.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".