Secret trauma in Ann-Marie MacDonald’s Fall on Your Knees: dissociation, art, and healing
Bibliographic record
Abstract
Opening paragraph: "Ann-Marie MacDonald opens her debut historical novel, Fall On Your Knees,with a key moment in the life of her protagonist, James Piper. The opening,“One morning, the day before his fifteenth birthday, James awoke with the realization that he could hit his father back” (MacDonald 7), announces both the fact that James has been subject to abuse by his father and, more generally, the novel’s central thematic preoccupation with repeatingpatterns of familial abuse. Throughout the course of the novel, we bear witness as James perpetuates this cycle of violence against his family:he sexually abuses first his child-bride Materia, and then his daughters Kathleen, Mercedes, and Frances. Each of these Piper women either experience sexual abuse firsthand, or as witnesses totheincest,as McDonald explores and traces the long-lasting impacts of familial trauma over five generations during the first half of the twentieth century."
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.018 | 0.027 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| 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".