Bibliographic record
Abstract
Patricia Kathleen Page described herself as a traveller, and invoked this status through both her poetry (under P. K. Page), and her visual art (under her married name, P. K. Irwin). Her experiences informed her work and changed her understanding of both poetic and artistic production: as she learned the former, she more fully developed the latter. Travel gave her other means with which to satisfy her creative output, but most importantly, travel necessarily made her an observer; perception has been her primary interest from poetry to paint to prose. As she comments in her non-fiction essay ‘A Writer’s Life,’ ‘I believe art has two functions: a lower and a higher. The lower is invaluable. It shows us ourselves — Picasso’s Guernica, for example. The higher — more valuable still, in my view — gives us glimpses of another order’. Alternatively a poet, writer, and artist (and prolific on all counts), P. K. displayed a supremely imagistic and visual quality that underlines her devotion to observing the world in new ways and to self-reflection. Page has had her written work published in over three dozen books of poetry, fiction, and non-fiction (including children’s literature), and has had her visual art collected in several permanent collections in Canada — including those of the National Gallery of Canada and the Art Gallery of Ontario.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.034 |
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".