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
This series focuses on measurements and indicators of children's well-being and their usage, within multiple domains and in diverse cultures.It presents measures and data resources, analysis of data, exploration of theoretical issues, and information about the status of children, as well as the implementation of this information in policy and practice.By doing so it explores how child indicators can be used to improve the development and the well-being of children.The series provides an international and applied perspective by bringing in a variety of analytical models, varied methodologies, and discussions on wide-ranging social policy regimes.This is a companion to the journal Child Indicators Research and is an exclusive channel for book publication in the field of measures and indicators of children's lives.The diverse and international advisory board of experts in the field ensures a thorough review of proposals and manuscripts in this series.The series accepts high-quality, high-impact, and academically sound scientific monographs and contributed volumes.Volumes that add novel insights into the child indicators field are especially encouraged.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it