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Record W2553930635 · doi:10.3167/aia.2016.230303

Place of Birth and Concepts of Wellbeing

2016· article· en· W2553930635 on OpenAlexaff
Christine McCourt, Juliet Rayment, Susanna Rance, Jane Sandall

Bibliographic record

VenueAnthropology in Action · 2016
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsAutonomyUnit (ring theory)EthnographyObstetricsMeaning (existential)NursingSpace (punctuation)Identity (music)Psychological interventionMedicineSociologyPsychologyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Abstract This article is based on analysis of a series of ethnographic case studies of midwifery units in England. Midwifery units1 are spaces that were developed to provide more home-like and less medically oriented care for birth that would support physiological processes of labour, women’s comfort and a positive experience of birth for women and their families. They are run by midwives, either on a hospital site alongside an obstetric unit (Alongside Midwifery Unit – AMU) or a freestanding unit away from an obstetric unit (Freestanding Midwifery Unit – FMU). Midwifery units have been designed and intended specifically as locations of wellbeing and although the meaning of the term is used very loosely in public discourse, this claim is supported by a large epidemiological study, which found that they provide safe care for babies while reducing use of medical interventions and with better health outcomes for the women. Our research indicated that midwifery units function as a protected space, one which uses domestic features as metaphors of home in order to promote a sense of wellbeing and to re-normalise concepts of birth, which had become inhabited by medical models and a preoccupation with risk. However, we argue that this protected space has a function for midwives as well as for birthing women. Midwifery units are intended to support midwives’ wellbeing following decades of professional struggles to maintain autonomy, midwife-led care2 and a professional identity founded on supporting normal, healthy birth. This development, which is focused on place of birth rather than other aspects of maternity care such as continuity, shows potential for restoring wellbeing on individual, professional and community levels, through improving rates of normal physiological birth and improving experiences of providing and receiving care. Nevertheless, this very focus also poses challenges for health service providers attempting to provide a ‘social model of care’ within an institutional context. 1The term midwifery unit was adopted by the Birthplace research programme in place of the more popular term ‘birth centre’ to avoid ambiguity. In a midwifery unit care is not only provided by mid-wives but is also managed by midwives and does not normally include use of obstetric instruments or interventions. If a woman planning birth in a mid-wifery unit develops obstetric complications, or decides she wishes to have a medical intervention such as epidural pain relief, she is transferred for care to an obstetric unit. Some units called birth centres are not managed by midwives in this way. 2Midwife-led care refers to care where the midwife, rather than an obstetrician or other professional is the lead professional, who takes responsibility for a woman’s maternity care through from pregnancy to postnatal. Following the Changing Childbirth report in 1993, this was re-established as the usual model for women classified as at low risk of pregnancy and birth complications.

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)0.005
metaresearch head score (Gemma)0.006
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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.037
Scholarly communication0.0090.008
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.038
GPT teacher head0.420
Teacher spread0.382 · 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

Citations34
Published2016
Admission routes1
Has abstractyes

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