Bibliographic record
Abstract
'A Confusion of Marys', a sequence of poems and prose poems in progress, considers, writes back to and reimagines, the religious myth of the angel Gabriel appearing to Mary, in terms of re-versioning, accumulation, variation, and ekphrasis. Many paintings and photographs depicting the annunciation were used as research and inspiration, including works by Fra Angelico, Andy Warhol, Eija-Liisa Ahtila, Francis Picabia, Lino Mannocci and Rose M. Barron. The work is part of an ongoing exploration of this material and associated themes such as colour, religious art, Renaissance art, spiritual/alien intervention and intrusion into the human realm, symbolism, and contemporary art. Previous publications centred on these topics include Dear Mary (Shearsman, 2017) and Impossible Songs, a collaboration with Sarah Cave (Analogue Flashback, 2017). The Quint (a double-blind, peer-reviewed interdisiplinary journal) disseminates new knowledge in the areas of literature, history, the arts, popular culture, education, the social sciences, and aboriginal studies. The journal also publishes interviews, artwork, creative writing, and reviews. All issues of the quint are archived in Library and Archives Canada (Ottawa, 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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.022 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".