To: Dr. Alfredo Morabia, Editor, <i>AJPH</i>
Bibliographic record
Abstract
To: Dr. Alfredo Morabia, Editor, AJPH Affiliation Nancy Krieger PhD, Anne-Emanuelle Birn MA, ScD, Luis Aviles PhD, MPH, Zinzi Bailey ScD, MSPH, Catherine Cubbin PhD, Craig Dearfield PhD, Marian Moser Jones PhD, Rebekka Lee ScD, Lisa Moore DrPH, Nylca Munoz JD, DrPHc, MPH, Vanessa Simonds ScD, and Pamela D. Waterman MPHNancy Krieger, Rebekka Lee, and Pamela D. Waterman are with the Harvard T. H. Chan School of Public Health, Boston, MA. Anne-Emanuelle Birn is with the Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario. Luis Avilés and Nylca Munoz are with the Graduate School of Public Health, University of Puerto Rico, San Juan. Zinzi Bailey is with the Center for Health Equity, New York City Department of Health and Mental Hygiene, New York, NY. Catherine Cubbin is with the School of Social Work, University of Texas, Austin. Craig Dearfield is with Akeso Consulting, Vienna, VA. Marian Moser Jones is with the University of Maryland School of Public Health, College Park. Lisa Moore is with Health Education, San Francisco State University, San Francisco, CA. Vanessa Simonds is with Health & Human Development, Montana State University, Bozeman.CopyRightCorrespondence should be sent to Nancy Krieger, PhD, Professor of Social Epidemiology, American Cancer Society Clinical Research Professor, Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115 (e-mail: [email protected]harvard.edu). Reprints can be ordered at http://www.ajph.org by clicking the “Reprints” link.CONTRIBUTORSN. Krieger and A.-E. Birn co-drafted the letter. All additional members of the Spirit of 1848 Coordinating Committee (L. Avilés, Z. Bailey, C. Cubbin, C. Dearfield, R. Lee, L. Moore, M. M. Jones, N. Munoz, V. Simonds, and P. D. Waterman) reviewed and discussed the draft, and the full Spirit of 1848 Coordinating Committee approved the final version for submission. https://doi.org/10.2105/AJPH.2017.303976 Accepted: May 06, 2017 Published Online: August 08, 2017
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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 | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.127 | 0.084 |
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".