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Record W2949212587 · doi:10.1177/1049732319855961

Struggling With Reciprocity and Compassion: Mentoring Pregnant and Parenting Mothers Experiencing Vulnerability

2019· article· en· W2949212587 on OpenAlexafffund
Carla Ginn, Karen Benzies

Bibliographic record

VenueQualitative Health Research · 2019
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of Calgary
FundersMax Bell Foundation
KeywordsPsychologyVulnerability (computing)Mental healthReciprocity (cultural anthropology)Developmental psychologyCompassionGrounded theoryQualitative researchSocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Transitioning from pregnancy to parenthood is particularly challenging for women living with low income and experiencing social isolation, mental illness, addiction, and/or family violence. The purpose of this qualitative study was to evaluate one component of Welcome to Parenthood, a two-generation multiple intervention program including neuroscience-based parenting education, kin and non-kin mentorship, and an engagement tool (baby kit). From late pregnancy to 2 months postpartum, mentors kept a journal regarding their experiences of mentoring mothers experiencing vulnerability. We engaged in a modified constructivist grounded theory to explore hand-written text from the journals. The core category, Struggling with Reciprocity and Compassion, influenced processes of Becoming a Mentor. Mentoring mothers experiencing vulnerability was both challenging and rewarding, requiring an inordinate amount of physical, social, emotional, and economic resources. To foster maternal mental health and infant development, pregnant and parenting women experiencing vulnerability could benefit from long-term reciprocal and compassionate mentoring.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.249
GPT teacher head0.523
Teacher spread0.275 · 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.

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

Citations4
Published2019
Admission routes2
Has abstractyes

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