Genetic Phantoms: Geography, History, and Ancestral Inheritance in Kenneth Harvey’s The Town That Forgot How to Breathe and Michael Crummey’s Galore
Bibliographic record
Abstract
KEVIN MAJOR’S HISTORY of Newfoundland and Labrador, As Near to Heaven by Sea, opens with the author teaching canoeing in Mint Brook in central Newfoundland, one of the childhood homes of Joey Smallwood. Major, imagining himself as a young Smallwood, gazes up into the night sky and ponders “the inestimable vastness of the cosmos and its billions of years of history” (2). “Where,” he asks, “does Newfoundland and Labrador fit into this bigger picture... ? How long after the ‘big bang’ did we take on the shape we have today?” (2). If this sounds a little like Ray Smith proposing that “Cape Breton is the thought-control centre of Canada,” there is certainly something intentionally reorienting about the claim that renders Newfoundland and Labrador somehow central to the impetus of the Big Bang. Major’s historical alignment also adds sub-
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.072 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".