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Record W2296267329

Trust and Transformation: Women's Experiences Choosing Midwifery and Home Birth in Ontario, Canada

2014· dissertation· en· W2296267329 on OpenAlexvenueaboutno aff
Shawna Healey DiFilippo

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2014
Typedissertation
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsHome birthTransformative learningStatus quoObstetricsNursingMedicineQualitative researchValue (mathematics)Grounded theoryPsychologySociologyPregnancyPolitical scienceDevelopmental psychologyChildbirth
DOInot available

Abstract

fetched live from OpenAlex

Using a critical feminist approach, and with attention to participants’ broad life experiences, this qualitative study explores seven women’s challenging, transformative decisions to give birth at home with midwives in Ontario, Canada. To make this choice, the women had to draw on their own strength, take responsibility for their decisions, and resist the dominant view of birth as inherently risky, and of women’s birth experiences as unimportant and incompatible with more narrowly defined good outcomes. As participants became informed decision-makers, resisted medicalized birth, and envisioned more woman-centred possibilities, they were empowered as active agents in their births. They were able to trust that with the care of their midwives, and the support of their partners or close family, they could have satisfying and safe births at home.

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)0.003
metaresearch head score (Gemma)0.009
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.723

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0380.015
Scholarly communication0.0070.002
Open science0.0020.006
Research integrity0.0020.004
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 head0.004
GPT teacher head0.178
Teacher spread0.174 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicMaternal and Perinatal Health Interventions→French-language works237,207→