Charlie Steinman, Tom Smith, & Alice Glaser
Bibliographic record
Abstract
Song list: \nComin’ Round the Mountain \n[yodeling discussion] \nJoys of Quebec \nLittle Brown Jug \nTennessee Waltz \nJig \nRed River Valley \nDown Yonder \nChime Bells \nFlop-Eared Mule \n[bow between the knees] \nCut Down the Old Pine Tree \nJambalaya \nP and A \n[scatterbrain] \nToo Old to Cut the Mustard \nThis Old House \nHave I Told You Lately That I Love You \nHey Hey Good Lookin’ \nSkip To My Lou \nAmazing Grace \nI Saw the Light \nVictory in Jesus \nThe Old Rugged Cross \nAnytime \nYou Are My Sunshine \nRagtime Annie \nCarolina Moon \nUp Jumped the Devil \nAlexander’s Ragtime Band \nSomewhere Over the Rainbow \nCattle Call \nLovesick Blues \nMountain Dew \nShow Me the Way to Go Home
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.403 | 0.178 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".