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Record W2730146014 · doi:10.1080/07399332.2017.1350179

Experiences of pregnancy complications: Voices from central Haiti

2017· article· en· W2730146014 on OpenAlexaff
Marion Alex, Joanne Whitty-Rogers

Bibliographic record

VenueHealth Care For Women International · 2017
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPregnancyNursingMedicineChildbirthStaffingPsychologyObstetricsGender studiesSociology

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the lived experience of pregnancy/birth complications in central Haiti from the perspectives of skilled birth attendants (saj fanm), traditional birth attendants (matwons), and postpartum mothers. Hermeneutic phenomenology guided the study. With the assistance of a Creole-English translator, four saj fanm, ten matwons, and seven postpartum mothers were interviewed. Their stories explain barriers and challenges to safe motherhood-serious limitations in transportation, staffing, and lack of the most basic of material resources, but also illustrate tremendous resiliency, spirituality, power of partnerships, and commonsense solutions to problems impacting maternal/newborn health in central Haiti. Haiti has one the world's highest maternal and neonatal mortality, and findings of this study provide perspective of this reality from those most affected by it-Haitian mothers and front-line maternity workers.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.007
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.362
Teacher spread0.338 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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