Bibliographic record
Abstract
When he first hiked the Don Valley trails / all he heard was river as he strode / beside its glitter of smashing glass Grounded in the local and immediate – from Toronto’s rivers and ravines to its highways and skyscrapers – Metromorphoses explores some of the radical changes that have taken place in the city during the course of its history. The collection’s poems focus, in roughly chronological order, on the city’s inhabitants and the changing relationships between people and place, from the original Indigenous presence, through the immigrants of the nineteenth century and the Depression and war survivors of the twentieth century, to the twenty-first century’s setbacks and affirmations. We encounter characters such as Symphony Pete, who whistled classical music while hiking Don Valley trails, Henry “Box” Brown, who escaped from southern slavery in a packing crate, or the exhausted anonymous newsboy a photographer caught fast asleep next to his stack of newspapers on a flight of stone steps. We zoom in like time-lapse photography on the changes that a single site has experienced, from wood-frame cottages to foundry to synagogue to furniture store to parking lot to the new provincial courthouse. These poems bring the reader closer to the impulses that drove the art of the Mississaugas, the escape from slavery or famine of new settlers, or the social awareness of a Dr Charles Hastings or a Raymond Moriyama. Far from Eliot’s “unreal city,” Metromorphoses takes us into the heart of the real Toronto, alive and ever-changing.
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 | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.160 | 0.032 |
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".