Bibliographic record
Abstract
A knot of students gathers by the 'smoking doors, ' intent on projecting an air of apathetic cool. Not far away, two younger girls, probably grade nines, watch the smokers strike poses of studied indifference, whispering excitedly. One girl seems eager to join the smokers; the other clearly thinks its a bad idea. Temptation trumps loyalty, and the first girl steps hesitantly into the haze. She is given an icy once-over by the crowd, but welcomed into the fold once she pulls out a cigarette of her own and asks for a light. Her friend remains on the periphery, unsure of what to do. Eventually, she moves to join the group but turns down a proffered cigarette; the group turns its back on her and strides away as one, never looking back. The girl calls out to her retreating friend but is ignored; soon she is alone. She looks one last time towards the now-distant crowd, and her face is enveloped in darkness as the stage lights fade to black .
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Piece on student leadership in inclusive schools; K-12 education.
The work concerns student leadership and school inclusion, not research practice.
Education vignette on student leadership and school culture; not studying research practice.
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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.013 | 0.058 |
| Scholarly communication | 0.020 | 0.019 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".