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
<JATS1:p>With about 70,000 domestic and international adoptions each year in the United States and Canada, adoption remains a major means of building families in both countries. Its continued success can be inferred not only from the yearly statistics, but from a report issued in 2003 by the U.S. Census Bureau. To the surprise of many, the report announced the existence of 1.6 million adopted children in the U.S. under the age of eighteen. Written by a former social worker who has placed hundreds of children in foster and adoptive homes and a clinical psychologist who has counseled adopted children and parents, this book offers a comprehensive look at the adoption process by merging the best of social work with the best of psychology.</JATS1:p> <JATS1:p>Adoption can be a frustrating and intimidating undertaking for the unprepared. This guide provides prospective adoptive parents with the insider information that they need to navigate the process-and it provides students with the sort of expert opinion that they need to grasp the academic theory they receive in the classroom.</JATS1:p>
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 | 0.001 | 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) | 0.000 | 0.000 |
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