Bibliographic record
Abstract
Like many essay collections, this one started with a gathering of people in one place.The Public Poetics conference took place in Sackville, New Brunswick, in September 2012.Unlike many conferences, but characteristic of so much that takes place in Sackville, the conference was a real community effort that was made possible by people working in the university, by the people who make arts and culture such an animated part of life in Sackville, and by independent artists who gave of their time and talents.We'd like to thank Paul Henderson, whose design savvy was visible on our programs, posters, and what are likely still the most beautiful conference bags around.We've since spotted Paul's collaborative work with derek beaulieu's visual poetry being carried across Canada and internationally.Thanks goes to Kaeli Cook, whose hand-painted birch tree pottery mugs, which were made in her Sackville studio, accompanied attendees to their homes across Canada and abroad.Without the support of the Vogue Theatre and the Owens Art Gallery the poetic performances would not have been accessible to so many conference goers and community members alike, nor would they have happened in proximity to such beautiful Atlantic Canadian art.Thanks, too, to the many friends who helped out.Especial gratitude to El Jones, Ardath Whynacht, Tanya Davis
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 | 0.004 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.320 | 0.232 |
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".