Bibliographic record
Abstract
The Turnip Queen Ann Leamon (bio) Grandmother never prunedthe backyard forsythia,dancing wild sunbeams in April rain. Neighborscomplained when it rootedover the property line. In our front yard—turnips, jaggedgreen leaves instead of grass.Other houses on the street bloomedwith pink and blue hydrangeas,red roses, white petunias. At the prom,the popular boy gave me a bouquetof turnips, called methe turnip queen. I came home weepingin my homemade dress,the cruel turnips still clutchedin a hand that wasn't mine.Grandmother caramelized themfor a late-night snack with tea.I can still taste the sweetnessand the salt. [End Page 12] Ann Leamon ann leamon writes poetry, fiction, and textbooks about private equity. She holds degrees from University of King's College/Dalhousie, University of Montana, and Bennington Writing Seminars. Her work has appeared in the Boston Globe, Live Nudes, MicroLit Almanac, and Hole in the Head Review, among others. Copyright © 2023 University of North Dakota
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.016 |
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".