Bibliographic record
Abstract
Read the full poem on Canadian Literature’s website at https://canlit.ca/article/organic-after-hip-replacement/. Author Bio: A University of Toronto graduate, Susan Ioannou has published numerous literary articles, short stories, two children’s novels, several poetry collections, and the non-fiction study A Magical Clockwork: The Art of Writing the Poem (Wordwrights Canada). Some of her poems have been translated into Dutch and Hindi, and others set to music, performed in Canada and Norway. For many years she led creative writing workshops for the Toronto Board of Education, University of Toronto School of Continuing Studies, and Ryerson University Literary Society, was Associate Editor of Cross-Canada Writers’ Magazine, and ran the online course Lessons in Writing the Poem. Susan’s current focus is her own creative work. Besides chapbooks, her poetry collections include Clarity Between Clouds (Goose Lane Editions), Where the Light Waits (Ekstasis Editions), Coming Home: An Old Love Story (Leaf Press), Looking Through Stone: Poems About the Earth (Your Scrivener Press), Looking for Light (Hidden Brook Press / Opal Editions), and The Dance Between: Poems About Women (Opal Editions). Several of her print titles have also been reissued in eBook and amazon.com paperback formats. Her full Literary CV is online at www3.sympatico.ca/susanio/.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.539 | 0.198 |
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".