Ten Percent of SIDS Cases are Murder — or are They?
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
Sudden infant death syndrome (SIDS) has been used as a cause of death for over four decades. It has allowed deaths of infants to be registered as natural. Within this group of deaths, a certain number have been recognized to be homicides from inflicted smothering rather than being natural or accidental deaths. Research has been conducted using confidential inquires to determine how frequent homicide is in cases called SIDS. This paper traces the history of quoted rates of homicide. Early work suggested the figure was between 2-10% of all SIDS cases, though other workers have suggested figures as high as 20-40%. With the fall in the rate of infant deaths following the "Back to Sleep" campaigns, these figures have been reevaluated. If the higher figures were correct that 20-40% of SIDS were homicides, the fall in infant deaths would be expected to be less than it has been. Current data suggests a much lower figure than 10% of current cases, with much lower overall rates of infant deaths. As well as 10% of SIDS cases having been stated to be homicides, a related question is whether multiple deaths classified as SIDS are really homicides. The paper discusses the maxim that one death is a tragedy, two is suspicious, and three deaths indicate homicide. The paper also looks at court cases and the approach that has been made in prosecutions of sudden unexpected death in infancy as multiple murder.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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