Bibliographic record
Abstract
I Don't Care If I Never Get Back Earl J. Wilcox (bio) (for Paul H.) Some say authors and planets or hymns you have knownsince you crawled fade into whatever place grace that'sno longer amazing goes. Remind me again: what isUranus? Hemingway's third wife's hair color? Still anothersage claims verbs must be horded if we want to enterthe nonagenarian gates. Is it lie or lay, sit or set, effingor the f word? Exercises, they say, keep synapses humming.But, if not hymns, not verbs, what holds an elder brain intact? Baseball fans say the secret to healthy matter is lockedin three events: detecting a balk, catching an ump callingthe infield fly rule, and decoding signs and signals—those crotch fingers a catcher flashes to the pitcher,chest crossings and thigh slapping from manager tocatcher to pitcher, and on occasion from third basecoach to batter or from a coach somewhere to a baserunner. Signals enough for a long and happy life.Great mysteries of life and death on display in everygame, viewed by millions, understood by the giftedfew and seldom passed on when the fan leavesfor the Elysian Fields. So not a guru on a mountain top, not a grammarianconjugating verbs while waltzing into St. Pete's gates.Not even walking into a cornfield in Iowa. Aficionadosknow when the seventh-inning stretch comes—and the hymnis sung—they are safe at home. [End Page 240] Earl J. Wilcox earl j. wilcox, now in his eighth decade, has published widely online and in print journals, including NINE. An avid St. Louis Cardinals fan, he is a retired university professor, a follower of Robert Frost, who also had a good deal to say about baseball in his essays and poems. Copyright © 2020 University of Nebraska Press
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.274 | 0.263 |
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".