Bibliographic record
Abstract
The Laurier Poetry Series was conceived in 2002 as a means to celebrate Canadian poetry and to introduce new readers to the richness and diversity of its poets.Rather than curate another large anthology that featured only a few poems by each poet, we thought it a better idea to suggest the real range of a poet's work by enlarging the selection.Our anthology would have to comprise many volumes.But why persist with a traditional anthology?Why not create a series of small and affordable volumes, each devoted to the work of a single poet?Each volume could be introduced by a knowledgeable reader, familiar with the poet's work and addressing it in greater depth than in normal anthologies; and each volume could close with the poet contributing an afterword such as no standard anthology could offer.Readers could pick and choose which poets they wanted to explore; instructors could also pick and choose combinations of volumes in a package for their students-and could change this selection from semester to semester.And the volumes could reach an international audience.Each would also have the potential to open out onto other books by the featured poet.That was the blueprint.The Series was launched in 2004, with Catherine Hunter's selection of the poetry of Lorna Crozier, Before the First Word.There have been over thirty volumes since, offering introductions to a wide range of poets and poetries, and more are in the works.The Laurier Poetry Series is now the most comprehensive collection of Canadian poetries in print anywhere.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.737 | 0.725 |
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".