Carla Comellini to Jane Urquhart about “The Art of Cooking and Serving by Margaret Atwood, in The Penguin Book of Canadian Short Stories”, Selected and Introduced by Jane Urquhart, 2007." in "Interview on Stage with Jane Urquhart at the Siena Toronto Centre" edited by Laura Ferri.
Bibliographic record
Abstract
My critical comments on Margaret Atwood’s short-story, selected by Jane Urquhart to be collected in her 2007 Penguin edition of Canadian Short Stories, focuses on the memory of those old days spent knitting as well as reading a “favourite book” entitled The Art of Cooking and Serving (226), which is also the title of Atwood's tale: a story which can be considered either as a picture of the collective Canadian past, or as the tale of an individual experience, perhaps of Atwood herself, a memory of that old “Summer” when she was a child. \nIt was certainly a great choice by Jane Urquhart to choose this story among Atwood’s ones to be published in her Penguin Collection of Canadian Short Stories.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.047 | 0.009 |
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".