Bibliographic record
Abstract
Table of Contents THAT'S YOUR GRANDFATHER'S WATCH: Robin RuarkHALLOWEEN: David Allan Evans UNTITLED POEM: Beryl Younger SUNDAY AFTERNOON AT THE BASIC SKILLS CENTER FOR THE DEVELOPMENTALLY DISABLED: Meta BrandlSOUNDS FROM BELOW: Lynne Waters UNTITLED POEM: Carrie ChesnikSOMETHING: Leon Tetzlaff FULL SERVICE: James Marten WHEN ALL IS STILL: Leon TetzlaffSISTERS SWEET: Daniel R. PhenFARM KID ON ROLLER SKATES: David Allan Evans UNTITLED POEM: Julie Stroup DIRTY BUCK LOTUS: Emma DimitFREDDIE: Frederick Fiekema Manfred YOU MUDDY: Deb Seaburg and David WigtilSLEDDING: t.r. maves IN FALL: Jomay Steen DADDY LONG LEGS: Wendy HowellAT A QUARTER TO FIVE: Robin Ruark UNTITLED POEM: Linda Faye Hanson A SPINNING WHEEL FAIRY STORY: Robert Bly BEFORE I TEAR THE MEDICINE CABINET OFF THE WALL: Doug CockrellUNTITLED POEM: Sonya D. ChristiansonWALKING INTO ELVEN WORLD: Lynne WatersTUMBLEWEED CROSSING IN CODINGTON COUNTY: Wendy HowellUNTITLED POEM: Linda Faye HansonOVERHEARING WINDOW TO DOOR: Daniel R. PhenSUNSET: Julie Stroup Visuals Verle Vander PloegRobert SuttonBarbara Mader Darlene Snoozy Dorothy MorganKathy KitzmillerJoseph StuartLinda HansonJohn McCarthyKirsten OplandDonald BoydDennis GuastellaTheresa Fischer
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.899 | 0.852 |
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".