The Making of Frank 'Toronto' Prewett: Poetry, Trauma and Identity
Bibliographic record
Abstract
Drawing from her new biography, Trauma, Primitivism, and the First World War: The Making of Frank ‘Toronto’ Prewett, Joy Porter explores the extraordinary life of this Canadian veteran, poet and exceptional man of letters, and the history of trauma, literary expression and the power of self-representation after World War I. While serving with the British forces on the Western front during World War I, Prewett was thrown from his horse and suffered severe back injuries in one battle and clawed his way out of the earth after being buried alive in another. Recovering at the same psychiatric hospital as Siegfried Sassoon, Prewett was encouraged to ‘dress up’. Yet in so doing, he took on an entirely fictitious identity as an indigenous Canadian named Toronto. With his exceptional good looks, Prewett soon became the love interest not only of Sassoon himself, but also of Lady Ottoline Morrell, the transgressive British Bloomsbury society hostess. Through them, he connected with all of the major writers of the early 20th century and his work, and ‘primitive’ genius, was lauded by all. Eventually, Prewett ‘cracked’ and the group cast him out, yet he himself never let go of this alter-ego. The event is chaired by author and editor Erica Wagner. Actor Alex McMorran will read examples of Prewett’s poems during the event.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.033 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".