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Record W4393224144 · doi:10.1111/nin.12638

“There is nothing to protect us from dying”: Black women's perceived sense of safety accessing pregnancy and intrapartum care

2024· article· en· W4393224144 on OpenAlexaffabout
Priscilla Boakye, Nadia Prendergast

Bibliographic record

VenueNursing Inquiry · 2024
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPregnancyChildbirthThematic analysisMedicineQualitative researchHealth carePrejudice (legal term)NursingObstetricsPsychologyFamily medicineSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Pregnancy and childbirth have become a dangerous journey for Black women as harrowing stories of death and near-death experiences resonate within Black communities. While the causes of pregnancy-related morbidity and mortality are well documented, little is known about how Black Canadian women feel protected from undesirable maternal health outcomes when accessing and receiving pregnancy and intrapartum care. This critical qualitative inquiry sheds light on Black women's perceived sense of safety in accessing pregnancy and intrapartum care. Twenty-four in-depth interviews were conducted with Black women who were pregnant or had given birth. Five interconnected themes were generated through thematic analysis: (1) There is a lot of prejudice towards us, (2) We are treated as sick bodies, (3) There is a lot of stereotypes towards us, (4) Our care is lacking in quality, and (5) We feel unsafe in the healthcare system. These themes highlight the perils faced by Black women accessing pregnancy and intrapartum care. The right to safe motherhood and equitable care for Black women should be a national priority in Canada to avert a looming crisis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.047
GPT teacher head0.369
Teacher spread0.322 · 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.

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

Citations5
Published2024
Admission routes2
Has abstractyes

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