Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Pet Projects, Elizabeth Young joins an analysis of the representation of animals in nineteenth-century fiction, taxidermy, and the visual arts with a first-person reflection on her own scholarly journey. Centering on Margaret Marshall Saunders, a Canadian woman writer once famous for her animal novels, and incorporating Young's own experience of a beloved animal's illness, this study highlights the personal and intellectual stakes of a "pet project" of cultural criticism.Young assembles a broad archive of materials, beginning with Saunders's novels and widening outward to include fiction, nonfiction, photography, and taxidermy. She coins the term "first-dog voice" to describe the narrative technique of novels, such as Saunders's Beautiful Joe, written in the first person from the perspective of an animal. She connects this voice to contemporary political issues, revealing how animal fiction such as Saunders's reanimates nineteenth-century writing about both feminism and slavery.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it