Charlie Steinman, Tom Smith, & Alice Glaser
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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 it