A Brief History of Awareness of the Link Between Alcohol and Fetal Alcohol Spectrum Disorder
Bibliographic record
Abstract
OBJECTIVE: Fetal alcohol spectrum disorder (FASD) is a medical term used to describe a range of mental and physical disabilities caused by maternal alcohol consumption. The role of alcohol as a teratogen and its effects on the cellular growth of the embryo and the fetus were not determined on scientific grounds until the late 1960s. However, the link between alcohol use during pregnancy and its harms to offspring might have been observed frequently over the many thousands of years during which alcohol has been available and used for social and other reasons. METHODS AND RESULTS: Using sources ranging from the biblical Book of Judges (pre-1700) up until the first public health bulletin (1977), we seek to provide an overview of the academic debate around early historical accounts ostensibly attributed to the awareness of alcohol as a prenatal teratogen as well as to describe the social and political influences that sculpted developments leading to the public recognition of FASD. CONCLUSIONS: Our analysis provides a brief overview of the discourse regarding historical awareness of the detrimental effects of prenatal alcohol exposure on fetal development leading to the formal recognition of FASD as a distinct clinical entity. Further research will be required to fully appreciate the scientific, medical, and societal ills associated with prenatal alcohol exposure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".