Solving crimes, telling stories: An interview with Tom Ryan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 it