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Record W4408372906 · doi:10.3390/bs15030348

Understanding Parenting and Pregnant Women’s Perceptions of Accessing, Utilizing, and Barriers to Seeking Social Support for Mental Well-Being

2025· article· en· W4408372906 on OpenAlexafffundabout
Saima Hirani, Nilanga Aki Bandara, Vicky Bungay

Bibliographic record

VenueBehavioral Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsSocial supportThematic analysisSocioeconomic statusPerceptionPsychologyFocus groupMental healthDevelopmental psychologyQualitative researchSocial psychologyMedicineSociologyPopulationPsychiatry

Abstract

fetched live from OpenAlex

Social support has been considered essential for enhancing mental well-being. However, perceptions of support are crucial for promoting psychological well-being, which is shaped by one's social position across axes of socioeconomic status and gender. This study sought to improve understanding of how pregnant and parenting women living in socioeconomic challenging circumstances perceive social support in order to identify what is working and what needs improvement in mobilizing existing support services. Virtual focus group discussions were conducted with twenty-four women living in British Columbia, Canada. Five themes emerged using thematic analysis: lived realities of motherhood; types of social support women access; barriers they face when accessing support; impact of the pandemic on support services; and women's recommendations to improve support services. Our findings inform a better understanding of women's contextual realities in which they live and the need for inclusive supportive approaches for women and their families.

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)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.402
Teacher spread0.306 · 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

Citations2
Published2025
Admission routes3
Has abstractyes

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