Bibliographic record
Abstract
Canadian poet Miriam Waddington was born in Winnipeg’s Jewish North End neighbourhood in Manitoba, Canada on 23 December 1917. Waddington was honoured with several awards for her writing throughout her career, winning the Borestone Mountain Award for best poem of the year in 1963, 1966, and 1974, and the J. J. Segal Award in 1972; receiving honorary doctorates from Lakehead University in 1975 and York University in 1985; and having her words imprinted on the Canadian $100 note in 2004. Her socialist and Yiddish upbringing inflected the politics of her poetry throughout her life; it was through her parents’ connections that she was able to receive mentorship from respected Yiddish poet Ida Maze, whose influences can be seen in Waddington’s work. Her translations of Yiddish poets were also central to her own poetic practice. Her style was unique for its formal precision in combination with a conversational tone—an innovation of stylistic play uncommon before her time. Her poetic focus on female-lived experience, preoccupation with her Jewish roots, and her Canadian nationality were deftly interwoven with explorations of cultural, national, and personal identity.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".