Bibliographic record
Abstract
SLOWIKTeeth PRELUDE I grew up in a place of old crones hobbling in the center of dirt streets, of men so thin their Adam's apples were bigger than their knuckles, a place of broken windmills that creaked water for nonex istent cows, but most of all, I grew up in a place of teeth.My father was the town dentist.The teeth in our family were impregnable.We drank our own iron-rich well water that minis tered to the souls of our teeth.We ate apples out of our orchard that burnished our teeth clean.We never brushed.We never set foot in a dentist's office as patients.We never had to open our mouths for any story of our own.And so, Dad felt free to tell the stories of all the other mouths in town.Most of them were rotten and bleeding.Though Dad did all the routine checking and cleaning that hygienists do these days, it was the teeth that poked slivers of decay into the gums, teeth that festered and pussed and ballooned, that we heard about.Dad spoke of basins draining liquid that made jaws twice their size.He told of teeth that wanted to escape into sinuses and extracted teeth that made grown men faint.And he described the tiny pinprick, the precise lancing that released someone from the misery of pain.No wonder the old man from Poland knelt and kissed my mother's hand over and over."Thank the doctor, thank the doctor," he said.He would have knelt before Dad except Dad had left the room, and only women could have their hands kissed.But the old aristocrat wanted to kiss Dad's hands.The doctor held all pain in his palms and dismissed it with the tips of his fingers.That was the story the teeth told.THE HUT OF BABA YAGA Dad's office hovered above the town on top of the single gas station overlooking Main Street.Most days, there was a slow stream of cars through town on the way to Pontiac or Rochester, on to Mount Clemens or even Canada.Sometimes, a car or two would slide out and swing into the gas station, raising dust up against the office windows.In a little while, the car would bounce through the chuck 124University of Iowa is collaborating with JSTOR to digitize, preserve, and extend access toThe Iowa Review www.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.479 | 0.328 |
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".