Bibliographic record
Abstract
The life and work of Linda Hutcheon has many ironies. It is unusual for the daughter of Italian immigrants to become a professor at the University of Toronto. All the more so since Italian women of her generation were not encouraged to go to university at all. It is even more unusual to develop in the short span of 12 years such a diverse and creative body of work: eight volumes on subjects such as metafiction, formalism and the Freudian aesthetic, parody, and post-modern theory and fiction. More recently she has focused on feminist writing and theory, ethnic minority writing, and irony. More unusual still is for such a wide-ranging body of work to evolve into a hitherto unperceived unity. As a university student, Linda did not follow a safe and predictable career. Rather, she pursued personal interests: B.A. in Italian and English (1969), M.A. in Italian (1971), Ph.D. in Comparative Literature (1975). Because of her ethnic background and her personal inclinations, Linda was naturally drawn to the study of literature in a broader context than that found in traditional English programs.She has brought this interdisciplinary approach to her teaching and her books. Ironically, the time she has expended on creating this diverse and sophisticated body of work has not detracted from the energy and enthusiasm she puts into teaching her Comparative Literature and English courses at the University of Toronto. Her classes are overflowing, and students vie to have her as a thesis supervisor. Professor Hutcheon's achievements are eloquent testimony to the argument that research and teaching are symbiotic activities.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".