Bibliographic record
Abstract
Public Poetics is a collection of essays and poems that address some of the most pressing issues of the discipline in the twenty-first century. The collection brings together fifteen original essays addressing “publics,” “poetry,” and “poetics” from the situated space of Canada while simultaneously troubling the notion of the nation as a stable term. It asks hard questions about who and what count as “publics” in Canada. Critical essays stand alongside poetry as visual and editorial reminders of the cross-pollination required in thinking through both poetry and poetics. Public Poetics is divided into three thematic sections. The first contains essays surveying poetics in the present moment through the lens of the public/private divide, systematic racism in Canada, the counterpublic, feminist poetics, and Canadian innovations on postmodern poetics. The second section contains author-specific studies of public poets. The final section contains essays that use innovative renderings of “poetics” as a means of articulating alternative communities and practices. Each section is paired with a collection of original poetry by ten contemporary Canadian poets. This collection attends to the changing landscape of critical discourse around poetry and poetics in Canada, and will be of use to teachers and students of poetry and poetics.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".