Bibliographic record
Abstract
Like the interviewer, Tom Ryan is based in Nova Scotia, in Canada’s Maritimes. Ryan is the author of more than a half-dozen books, including some critically acclaimed works for young readers: Keep This to Yourself (), for example, earned the 2020 Arthur Ellis Award for YA Crime Book and the 2020 ITW Award for Best YA Thriller; more recently I Hope You’re Listening () was awarded the 2021 Lambda Literary Award. In what follows, Ryan and I dwell on these two novels to explore what attracts him to the YA genre, his writing process, central themes in his oeuvre and how he imbues his characters with psychological complexity. This interview contributes to scholarship by expanding critical attention on Nova Scotian literature and by attending to Ryan’s remarkably successful works of genre fiction.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.046 | 0.023 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 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".