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
Neonaticide (defined as the killing of an infant within the first 24 hours of birth) has occurred throughout history for a variety of reasons. Law enforcement files involving 40 female offenders resulting in 41 infant deaths were examined. Descriptive and frequency statistics revealed that the majority of offenders were young women who had never been married and had no criminal or psychological history. However, approximately a quarter of the sample did not fit these characteristics, which has implications for broadening the scope of investigations. The findings of this research identified four main challenges associated with neonaticide investigations: (a) variation in offender characteristics and situational factors, (b) intermittent denial of the pregnancy, (c) the physical resiliency of the offenders, and (d) lack of documented mental health and criminal history. Correspondence should be addressed to Kristen R. Beyer, P.O. Box 6566, Fredericksburg, VA 22403; email: kristen.beyer@krbconsultants.com and/or Joy Lynn E. Shelton, FBI Academy - NCAVC, Quantico, VA 22135; email: jlshelton@fbiacademy.edu
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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