Bibliographic record
Abstract
Working Out the Kinks, and: Legacy, and: September Carol Hamilton (bio) Working Out the Kinks You had nailingto use peach basketsladders highto play at both endsbasketball of the hallwhen it for runsfirst began and bouncesat the YMCA and shotsfilling a need but should oneup north cup a tossto entice into the basketyoung men in the gamewhen too cold could notfor outdoor sports continueone ladder withoutfor each goal a climbI think to retrieve successas Canadian and get betterJames Naismeth as both players andtried game did in time. [End Page 32] Legacy I must waste an hourbut I hoard my pennies, stackthem up and count endlessly. You would think I were Midaswho touched them all to gold. Evening on the prairieturns scrub grass shinyand all the nettles that fretted the hot hoursspent under a torture of sun. And maybe it was my knot-knuckledgrandfather struggling againstthe mortgage, the worry at supper so that my grown-up motherstill feared the very word. I want to squander this hourhere with you and only silenceor words someone else sighed out onto paper even as the minutesmarch their way relentlessly past uslike soldiers with somewherethey have to be. [End Page 33] September Everything can die now.I'm letting go.The trellises and cageshold crisp brown victimsup in their arms, pleading,and I cannot do a thing. [End Page 34] Carol Hamilton carol hamilton taught 2nd grande through graduate school in Connecticut, Indiana and Oklahoma, was a medical translator and storyteller. She was Poet Laureate of Oklahoma and has published and received various awards for 19 books and chapbooks of poetry, children's novels, and legends, and has been nominated for Best of the New and ten times for a Pushcart Prize. Copyright © 2023 University of North Dakota
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.501 | 0.297 |
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".