Killing kings in Canada: The role of community in William Dempsey Valgardson's "Bloodflowers"
Bibliographic record
Abstract
Canadian short story writer, William Dempsey Valgardson, may not belong among the best-known authors, but his short stories are highly regarded as valuable contributions to the canon of Canadian literature. This paper focuses on Valgardson's flagship short story, "Bloodflowers," and demonstrates the author's usage of the universal mythological pattern of human sacrifice via carefully chosen imagery and symbolism. The basis for critical analysis of the mythological pattern will be James George Frazer's The Golden Bough, which serves as a source of information on a variety of human sacrifice patterns that can be found in Valgardson's story. The result of the analysis should be a demonstration of how such a general myth resurfaces in the Canadian environment, confirming Carl Gustav Jung's theory of collective unconscious, which is based on the belief that almost all cultures share the same primordial images on which their mythologies are based.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.065 | 0.033 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".