Imaginarium 3: the best Canadian speculative writing of 2013
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
Imaginarium 4: The Best Canadian Speculative Writing is a reprint anthology collecting speculative short fiction and poetry (science fiction, fantasy, horror, magic realism, etc.) that represents the best work published by Canadian writers in the 2014 calendar year.Featuring Kelley Armstrong, Margaret Atwood, Courtney Bates-Hardy, Greg Bechtel, Jocko Benoit, Jeremy Butler, Siobhan Carroll, Peter Chiykowski, Eric Choi, Suzanne Church, David Clink, A.M. Dellamonica, Cory Doctorow, Puneet Dutt, Amal El-Mohtar, Gemma Files, Zsuzsi Gartner, Neile Graham, Lisa L. Hannett, Shivaun Hoad, Ada Hoffman, Nalo Hopkinson, Louisa Howerow, Matthew Hughes, Matthew Johnson, Catherine MacLeod, Helen Marshall, and others.
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 | 0.001 | 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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