Bibliographic record
Abstract
A young man's quest to keep his hometown's paper mill from closing turns into an odyssey across a rural upstate New York county. One man's affliction is another's gift, and Kenny Hopewell's "special gift" is a terrible memory and virtually no sense of direction. Entrusted by a family friend to deliver a plea for help that might keep his hometown mill from closing, Kenny misses his ride and sets out on foot across an isolated rural area between Lake Ontario and the Adirondacks. Along the way he meets and comes to terms with some of the denizens of this lonely landscape-the Casimir family, who survive on the outskirts of the law; Johnny Percy, a Vietnam veteran still defending his family's abandoned homestead; and Gunnar Molshoc, a well-driller and "witcher"-refugees, like him, from the decay of rural America in the 1980s. Meanwhile, several characters at the local college are struggling to define the college's role in the mill fight and to rescue the soul of higher education. John Harlan is an instructor attempting to write a meaningful dissertation that won't threaten his chances at tenure; Ernest Guppy's notion of himself as a political comic is driving his wife off the deep end; and college president Baxter McAdam and his administrative vice president are locked in a withering campaign to force each other out of power. The novel's setting, a fictional county in upstate New York, is like a braided rug: smooth on the top, all knots underneath. Chained to a dying farm economy and losing its youth to greener pastures, it's the sort of place where refugees from Brooklyn might live next to Amish farmers, who might live next to Italian millworkers, who might live next to a bigot whose house was once a stop on the Underground Railroad. Like so many rural American communities, it has the feel of a self-inflicted wound, and as Kenny comes to understand, sometimes you have to feel pain just to know you're still alive.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.010 |
| Scholarly communication | 0.020 | 0.018 |
| Open science | 0.001 | 0.019 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.191 | 0.060 |
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".