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Record W7096802707

COMMENTARY Alcohol and Pregnancy: Do Abstinence Policies Have Unintended Consequences?

2016· article· en· W7096802707 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Comparative Analysis Research
Canadian institutionsnot available
Fundersnot available
KeywordsAbstinencePregnancyBinge drinkingAlcoholUnintended pregnancyPublic healthPublic health policyAlcohol and health
DOInot available

Abstract

fetched live from OpenAlex

Abstract — Most policies and guidelines recommend that women abstain from alcohol during pregnancy. This can be difficult to achieve in developed nations where the majority of women consume alcohol and almost half of pregnancies are unplanned, leading to many pregnancies being exposed to alcohol prior to pregnancy awareness. Concerns have been raised that abstinence policies may lead women in this situation to terminate their pregnancy out of fear that they have harmed their baby; however, the evidence is limited. A recent study found that while few women reported alcohol as the reason for seeking an abortion, in almost all cases where alcohol was the reason, the women were either binge drinking or reported alcohol-related problems and the pregnancy was unplanned. The main theme of most alcohol and pregnancy policies is that abstinence during pregnancy is the safest choice (O’Leary et al., 2007; National Health and Medical Research Council, 2009). The strength of the policy advice ranges from ‘no safe amount or time to drink alcohol during preg-nancy ’ as advised by the US Surgeon General, to the advice in Canadian, UK and Australian policies that ‘the risk from low levels of alcohol is likely to be low’. The variations in

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.817
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.147
GPT teacher head0.463
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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