Oedipus in British Columbia: Sheila Watson’s Blend of Myth and Modernity
Bibliographic record
Abstract
The paper discusses the key mythological motifs which Sheila Watson used in the multilayered fiction of her Four Stories (1979): the Oedipus family cycle with a number of its analogies in the ironic (post)modern world, the change of Daedalus into a real estate entrepreneur, and the fragments of Greek myth and the Bible which nowadays seem to have no place in the world as interpretive guidance.The texts in question always straddle the gap between the old and the new and this fluctuation undermines a singular meaning, since not even the narrators can be certain whether the events resemble the myth by pure chance or by some act of fate.The pregnant node of conflicts from Sophocles' Antigone is deftly displaced in Watson's stories across narrative situations often verging on the absurd, but still echoing the classical origins.The most notable difference is that the younger generation in Four Stories manages to counter the elders' repression through their own diminutive subversive actions, like securing a little bird's burial.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".