Vassanji, M.G. The Book of secrets. Vassanji, M.G. The Book of secrets.
Bibliographic record
Abstract
”By Canadian literature,” wrote critic E.K. Brown in the opening chapter of his seminal book On Canadian Poetry (1943), “I shall understand writing by those who having been born in Canada passed a considerable number of their best creative years in this country, and also writing by those who, wherever they may have been born, once arrived in Canada did important creative work and led much of their literary life among us.” Clearly comfortable with the “element of indefiniteness” at the heart of his definition, a presence that many of his contemporaries were determined to schematize, Brown also articulates in this denotation a certain critical impatience with Canada’s apparent obsession withwhat Northrop Frye identified as the great riddle troubling Canadian sensibility, namely “Where is here?” ”By Canadian literature,” wrote critic E.K. Brown in the opening chapter of his seminal book On Canadian Poetry (1943), “I shall understand writing by those who having been born in Canada passed a considerable number of their best creative years in this country, and also writing by those who, wherever they may have been born, once arrived in Canada did important creative work and led much of their literary life among us.” Clearly comfortable with the “element of indefiniteness” at the heart of his definition, a presence that many of his contemporaries were determined to schematize, Brown also articulates in this denotation a certain critical impatience with Canada’s apparent obsession withwhat Northrop Frye identified as the great riddle troubling Canadian sensibility, namely “Where is here?”
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.007 |
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".