Bibliographic record
Abstract
This Creative Writing and Literature thesis presents Part I (100 pages) of my literary novel Les Oreilles, a work of Canadian Québécois historical fiction. In 1940s rural Quebec, the Eastern townships are divided as the Francophone vs. Anglophone conflict churns, and World War II calls for the deployment of Canadian sons. Poverty further escalates tension in the home of a struggling farming family. For Lillian Collins, the farm has been her entire world, and her eleven siblings are her only companions. Maman is French, Papa is English, and Lily understands neither. Severely hearing impaired, Lily has never enrolled in school, worn a new dress, or attended church. Lily's hearing loss involves the cochlea and sensory organs of the inner ear, which also impacts mobility and balance. Lily's frequent injuries have long been dismissed as the plight of a simpleton not able to judge her footing. We enter the story in 1942 at a time when the family dynamic is volatile; brother Jimmy revels in twisted cruelties, and Lily has become his preferred target for mistreatment. The older girls are ready to leave the farm and start their own families but fear for Lily's safety. The girls have secured an opportunity for Lily but will need to act quickly. The story narrows in on the critical twenty-four hours before Lily's departure. Unable to read or write and poorly equipped to speak, Lily may not have the skills to navigate the world beyond the farm.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.086 | 0.010 |
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".