Bibliographic record
Abstract
In the night her whitened toes / cold sole on his calf / between his palms he warms / a slender foot – / twig bones, taut skin. Jean Van Loon’s father was a metallurgist in an Ottawa lab that contributed to the Manhattan Project. The Geiger counter he brought home exposed her mother’s dinner plate as radioactive. Her childhood friend’s father sold cobalt bombs to the Soviet Union. Unbeknownst even to the family, her mother worked for Canada’s Cold War intelligence service. Rooted in memory and history, Nuclear Family carries the reader into the sense of impending nuclear doom and the explosions of material wealth that shaped Van Loon’s childhood. Poems come alive with image, sound, and texture, portraying the innocence of childhood games, the worldwide effects of prolonged nuclear testing, and the long-lasting legacy of her father’s suicide – a fallout of radioactive silences. In Nuclear Family violent events, both global and familial, permeate a girl’s coming of age in a story of cataclysm and, ultimately, recovery.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".