Bibliographic record
Abstract
Barbara Gowdy, one of the lesser-studied Canadian writers of short stories, is the author of We So Seldom Look on Love (1997). This collection highlights figures of the grotesque, where transgression, indetermination, and excess are modalities that allow her to explore the complexities of being human. In “Sylvie,” the eponymous main character is doubled through the Siamese twin attached to her abdomen in the form of two small, hanging legs: her sister ‘Sue.’ This image of the self, doubled specifically at the level of the pelvis, allows for the exploration of excess as it figures in the Lacanian perspective on female sexuality. Following Copjec, a Lacanian critic who asserts that a woman “lives herself—enjoys her body—as if it were not her own but another’s, as if she were the double of another,” this contribution means to demonstrates that Sue functions as a libidinal part-object that is constitutive of Sylvie’s sense of self and her ability to desire. This proposition leads—through questions of doubling, memory, seeing and being seen—in an exploration of how ‘Sue’ and ‘Sylvie’ are situated in the discourses of various others, from parental figures to indifferent others, and finally tragically, to a significant romantic love interest.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.018 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".