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
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for Human Development:Jedediah W.P. Allen, Ankara, TurkeyRamesh Balasubramaniam, Merced, CA, USANancy Budwig, Worecester, MA, USAJeremy Ian Maxwell Carpendale, Burnaby, BC, CanadaAnthony Chemero, Cincinnati, OH, USAHanne Collins, Los Angeles, CA, USAKarin Frey, Seattle, WA, USAJohn Geldhof, Corvallis, OR, USACarolina Goncalves, Medford, OR, USAGary Greenberg, Wichita, KS, USAMarie Hennecke, Bochum, GermanyYeh Hsueh, Memphis, TN, USAJana Iverson, Boston, MA, USAOlga Kornienko, Fairfax, CA, USADaniel Lapsley, Notre Dame, IN, USARichard M. Lerner, Medford, OR, USACharlie Lewis, Lancaster, UKRobert Lickliter, Miami, FL, USAZihan Liu, Springfield, IL, USAJeffrey J. Lockman, Austin, TX, USALukas Lopez, Salt Lake City, UT, USALucía Magis-Weinberg, Seattle, WA, USAMichael F. Mascolo, North Andover, MA, USAAnn Masten, Minneapolis, MN, USAGeorge Michel, Greensboro, NC, USARobert Mirski, Torun, PolandDavid S. Moore, Claremont, CA, USAUlrich Mueller, Victoria, BC, CanadaChris Napolitano, Champaign, IL, USADarcia Narvaez, Notre Dame, IN, USAJessica Navarro, Elon, NC, USAAmy Needham, Nashville, TN, USAWillis Overton, Philadelphia, PA, USAAlik Palatnik, Jerusalem, IsraelJoanna Peplak, Burnaby, BC, CanadaNorma Perez-Brena, Tucson, AZ, USACatherine Raeff, Philadelphia, PA, USAMarc J. Ratcliff, Geneva, SwitzerlandChristina Röcke, Zurich, SwitzerlandJudith Smetana, Rochester, MN, USATeresa Tavassoli, Reading, UKJonathan M. Tirrell, Medford, OR, USAElliot Turiel, Berkeley, MI, USAMaarten Vansteenkiste, Ghent, BelgiumKristia Wantchekon, Washington, DC, USAZheng Yan, Albany, NY, USA
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.011 |
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