‘‘Who’s Your Father, Dear?’’ Haunted Bloodlines and Miscegenation in Ann-Marie MacDonald’s Fall on Your Knees
Bibliographic record
Abstract
Ann-Marie MacDonald’s novel, Fall on Your Knees, is commonly characterized as a feminist novel or family saga. Many critics, such as Juliann Fleenor, have recognized a connection between the female or feminine novel and the Gothic, in particular, that female Gothic is concerned with household dramas and threats to women. A quick survey of the plot of this novel leaves no doubt that it is Gothic: There is a family curse, a haunted house, a young woman in peril of sexual violation, a concern for family bloodlines, spiritually hollow Catholicism, a woman confined to an attic, several dead mothers, family secrets including incest, and orphans who learn the truth about their parentage. One might argue that Gothic conventions do not a Gothic novel make. However, these plot elements are not superficial but are an integral part of the story. Still, while haunted houses, haunted people, and haunted bloodlines signify the Gothic, MacDonald does not merely replicate past Gothics; she uses the conventions to illustrate how racial prejudices cloud judgement. The perceived sin of miscegenation, and the anxiety to prevent it, haunts this text and haunts the bloodlines of the families, generation after generation.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".