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Record W2085295168 · doi:10.1177/0964663909346194

(M)Others in Altered States: Prenatal Drug-Use, Risk, Choice, and Responsible Self-Governance

2010· article· en· W2085295168 on OpenAlexaff
Julie Gregory

Bibliographic record

VenueSocial & Legal Studies · 2010
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsQueen's University
Fundersnot available
KeywordsMandatePoliticsCorporate governanceState (computer science)LimitingContext (archaeology)Public relationsPolitical scienceOrder (exchange)SociologyCriminologyLawBusiness

Abstract

fetched live from OpenAlex

The purpose of this article is four-fold. Firstly, it is meant to draw attention to Project Prevention, an American-based program funded largely by private donations used to offer people — mostly poor, racialized, drug-using women — up to $200 for limiting their reproductive abilities. Secondly, it highlights links between Project Prevention’s mandate and prevailing discriminatory scientific-medical, legal, political, and media discourses which serve to constitute certain ‘Truths’ about the dangers of prenatal drug-use and parenthood, particularly for women. Thirdly, Project Prevention is framed and theorized within its neo-liberal context in order to underscore the ways that contemporary (pregnant) bodies often become governed through social initiatives which implode state/non-state agencies, public/private distinctions. Finally, to ensure readers are not left with overly simplistic readings of the issues at hand, the article concludes by considering the potential role of counterclaims in terms of who does and does not get constructed as a ‘risky’ reproductive agent.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.913

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 studies0.0000.000
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 head0.012
GPT teacher head0.293
Teacher spread0.281 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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