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Record W2048159971 · doi:10.1177/0959353507072911

Midwifery, Informed Choice, and Reproductive Autonomy: A Relational Approach

2007· article· en· W2048159971 on OpenAlexaffabout
Angela Thachuk

Bibliographic record

VenueFeminism & Psychology · 2007
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAutonomyInformed consentEmpowermentBioethicsContext (archaeology)IdeologySociologyPsychologySocial psychologyEpistemologyMedicinePolitical sciencePoliticsLawAlternative medicine

Abstract

fetched live from OpenAlex

This article examines the parallels between the Canadian midwifery model of care and feminist reconfigurations of autonomy and choice. A critical survey of the medical model of informed consent and traditional notions of autonomy brings to light shortcomings of bioethical theories and decision-making practices that maintain a narrow ideology of autonomy and a limited perception of human characteristics. In contrast, relational models emphasize the social situatedness of the individual, and the relationship between self-trust and autonomous decision making. Shifting beyond the consent paradigm of the medical model, the midwifery model of care and the process of informed choice demonstrate an applied form of relational autonomy. It is my contention that Canadian midwifery’s avowed emphasis on empowerment and informed choice offers an exemplary standard of practice that maximizes women’s reproductive autonomy, thus demonstrating the merits of integrating relational approaches within bioethical theory and the health care context at large.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.065
Scholarly communication0.0070.005
Open science0.0020.007
Research integrity0.0020.003
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 head0.072
GPT teacher head0.416
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations76
Published2007
Admission routes2
Has abstractyes

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