Bibliographic record
Abstract
It might be unusual to review a pocket-sized saddle stitched chapbook of 25 poems like Maida Sosa-Velazquez's Mind the Tracks, published by Grey Borders Books, a small press from Niagara Falls, Ontario.Mind the Tracks is emblematic of a sea change in the social geography of Lake Ontario.There are different reasons for reading this chapbook as a sample of the next generation of literature coming from Canada's economic Golden Horseshoe.Sosa-Velazquez was born in Montevideo, Uruguay, and now lives in Etobicoke, a suburb of the Greater Toronto Area.She is a full-time commuter on the provincial government's public commuter GO Train system.For 365 days, she wrote at least one poem about what she observes on the commuter train.The result is a collection of 365 commuter poems that have yet to appear in one book.Mind the Tracks is the first selection of those poems to be published in a chapbook.The economy of Toronto has been radically altered by the policy and planning of provincial and city governments in the 21 st century.While the Greater Toronto Area (GTA) has a substantial manufacturing economy, the downtown core of Toronto has shifted into a high-density information-based commercial zone.Workers have been priced out of the Toronto core by a sudden construction boom.The workforce has moved to the suburbs, as far west as Hamilton, as far north as Lake Simcoe, as far east as Oshawa.The GO Train is the pulmonary transit system for thousands of commuters each day.Likewise, there has been a steady, incremental increase in the size of the newcomer immigrant community to southern Ontario.Toronto has always been the obvious destination for immigrants in Ontario, with many families
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.184 | 0.067 |
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".