Bibliographic record
Abstract
About the NovelA novel of manners, The Torontonians puts a Toronto suburban neighbourhood in the late 19508 under the microscope.Rowanwood is populated by upper middle-class couples who entertain one another with a round of cocktail parties and barbecue dinners.The novel focuses on a group of couples in immediate social orbit of Karen, the protagonist -her best friend Susan and husband Lewis, her childhood friend Barbara and husband Matt, and her flirtatious high school friend Fay and husband Roddie.On the periphery are couples with whom Karen shares only a Rowanwood affiliation: the cloying Betsey and Harry, as well as Millicent and her appropriately named husband, Biff.There's also Mrs Johnson, the one single mother in the neighbourhood, who works two low-paying jobs and still manages to send her son to the prestigious Upper Canada College, a paradox that fuels novelistic suspense as well as intrigue when it begins to embroil Lewis (whose enigmatic character makes him an ideal hero of the popular gothic romance variety).During weekdays, with husbands at work in the high-rise buildings downtown, Rowanwood housewives perform the subtle rituals of gracious living.They know to enter one another's houses without ringing the doorbell, raise their eyebrows in mild bewilderment at the one wife who doesn't join her husband for breakfast before he leaves for work, but largely ignore the Polish count who takes up residence in the largest house of the neighbourhood -and with its large matriarch -and hone their aesthetic tastes to create a "gracious" life.The Rowanwood men also have finely tuned aesthetic sensibilities and are quite capable of recogxiii
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.050 | 0.014 |
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".