Bibliographic record
Abstract
Established in 1969, the House of Anansi Press's Spiderline series represents a unique moment in Canadian publishing history. At no time previously had a Canadian publisher attempted to release the work of so many unknown and untried novelists simultaneously and also emphasize the fact that these were first, and perhaps not perfect, novels. Anansi's goals for the Spiderline series were to let new voices be heard, to give first-time novelists a chance at publication, and to get it done quickly by producing each of the Spiderlines with the same Spartan cover and identical typeface. All of the first five writers published — Peter Such, Russell Marois, Matt Cohen, John Sandman, and Pierre Gravel — were white, male, and no older than thirty. With its diverse collection of authors, experimental styles, and youthful enthusiasm for the new, the local, and the bilingual the original Spiderline books were the vision of Dennis Lee and David Godfrey at a time of great patriotism and literary expansion. The decision to reintroduce the Spiderline series in the late 1990s can be viewed as an attempt to regain Anansi's earlier status as a progressive and unique publishing enterprise.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".