What Do We Know about the Economic Impact of Fetal Alcohol Spectrum Disorder? A Systematic Literature Review
Bibliographic record
Abstract
AIMS: The objective of this study was to conduct a systematic review of the literature related to the measurement of the economic impact of Fetal Alcohol Spectrum Disorder (FASD) in different countries and to categorize the available literature. METHODS: A systematic literature search of the studies concerning the economic impact of FASD was conducted using multiple electronic bibliographic databases. RESULTS: The literature on the economic burden of FASD is scarce. There are a limited number of studies found in Canada and the USA, and data from the rest of the world are absent. Existing estimates of the economic impact of FASD demonstrate significant cost implications on the individual, the family and society. However, these estimates vary considerably due to the different methodologies used by different studies. CONCLUSION: Limitations and gaps in the existing methodologies of calculating the economic costs of FASD are discussed. It is evident that there is an urgent need to develop a comprehensive and sound methodology for calculating the economic impact of FASD to the society.
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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 | 0.013 | 0.090 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.018 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".