Productivity losses associated with Fetal Alcohol Spectrum Disorder in New Zealand.
Bibliographic record
Abstract
AIM: To estimate the productivity losses due to morbidity and premature mortality of individuals with Fetal Alcohol Spectrum Disorder (FASD) in New Zealand (NZ). METHODS: A demographic approach with a counterfactual scenario in which nobody in NZ is born with FASD was used. Estimates were calculated using (Census Year) 2013 data for the NZ population, the labour force, unemployment rate and average weekly wage, all of which were obtained from Statistics NZ. In order to estimate the number of FASD cases in 2013 and the related morbidity, the prevalence of FASD, obtained from the available epidemiological literature, was applied to the general population of NZ. Assumptions made on the level of impairment that would affect the ability of individuals with FASD to participate in the workforce or would reduce their productivity were based on data obtained from the current epidemiological literature. RESULTS: In 2013, approximately 0.03% of the NZ workforce experienced a loss of productivity due to FASD-attributable morbidity and premature mortality, which translated to aggregate losses ranging from $NZ49 million to $NZ200 million - that is, 0.03% to 0.09% of the annual gross domestic product in NZ. These costs represent estimates for lost productivity attributable to FASD and do not include additional costs incurred by governmental and private entities including social costs, such as both higher costs and or less effective spending by the education, health and justice systems. CONCLUSION: The estimated productivity losses associated with FASD further reinforces that effective FASD prevention as a primary public health strategy may be of significant value.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".