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Record W3209016616 · doi:10.1080/13698575.2021.1998389

Beyond ‘the choice to drink’ in a UK guideline on FASD: the precautionary principle, pregnancy surveillance, and the managed woman

2021· article· en· W3209016616 on OpenAlexaff
Ellie Lee, Jennie Bristow, Rachel Arkell, Clare Murphy

Bibliographic record

VenueHealth Risk & Society · 2021
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsPacific Centre for Reproductive Medicine
Fundersnot available
KeywordsMeaning (existential)Precautionary principleContext (archaeology)GuidelineSign (mathematics)AbstinenceAutonomyGovernment (linguistics)PsychologyMedicinePolitical sciencePublic relationsPsychiatryLawPsychotherapistGeography

Abstract

fetched live from OpenAlex

In many countries, official guidance promotes alcohol abstinence to women during, and also before, pregnancy, on the basis of concern about Foetal Alcohol Spectrum Disorder (FASD). Guidance has moved away from reference to a ‘choice to drink’, claiming absence of evidence about safety of even ‘low level’ drinking as a justification. Scholarship drawing on sociologies of risk and uncertainty has drawn attention to problems with precautionary thinking in this area of policy making, including for women’s autonomy. We build on these insights to assess a more recent type of UK guidance. This is directed not to women advising them to abstain, but instead it is about women, and tasks health professionals with managing the risk pregnant women’s behaviour is deemed to present. Using qualitative discourse analysis, we assess one such example, developed in Scotland, called SIGN 156. We contextualise SIGN 156 first through discussion of the relevant literature, making particular use of Ruhl’s considerations of the meaning of risk and the social conditioning of choice, and second through an account of developments in UK Government advice in recent years. We show that SIGN 156 builds on a policy context where a precautionary approach is explicit, but we furthermore detail how this approach innovates the guidance and practice field. SIGN 156 expands the meaning of risk and uncertainty and so justifies ‘routine’ monitoring and screening, generating the case for an expanded form of surveillance of pregnant women. We conclude with a critical commentary on the implications of this case for analyses of risk and uncertainty, and power.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.310
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations19
Published2021
Admission routes1
Has abstractyes

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