MétaCan
Menu
Back to cohort
Record W2156255076 · doi:10.5430/cns.v3n1p29

Gaining perspective: Peer mentors’ experiences with an intervention project for mothers with postpartum depression

2014· article· en· W2156255076 on OpenAlexafffund
Nicole Letourneau, Joni Leger, Kathryn Weaver

Bibliographic record

VenueClinical Nursing Studies · 2014
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of New BrunswickUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsIntervention (counseling)Peer supportPerspective (graphical)Postpartum depressionPsychologyMeaning (existential)MedicineNursingMedical educationPsychotherapistPregnancy

Abstract

fetched live from OpenAlex

This study explored the experiences of peer mentor volunteers who participated in an intervention project, Mothers OfferingMentorship and Support (MOMS), for new mothers with postpartum depression (PPD). A descriptive phenomenological approachwas used to capture the meaning and common features of their experiences. Six of the peer mentors who participated inthe MOMS study participated in the current study. Overall, the peer mentors had a positive experience. They felt helpful andderived satisfaction from providing support to other mothers. The general structure of the peer mentoring experience was one ofgaining perspective. Gaining perspective included themes of structuring a common connection, perceived impact on moms andmentors, understanding challenges, and informing future peer mentor programs. Both peer mentors and moms saw the benefitof having PPD support, however, some of the moms had needs that exceeded the scope of the peer mentors’ roles highlightingthe need for access to additional resources.

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)0.006
metaresearch head score (Gemma)0.017
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0100.005
Scholarly communication0.0040.003
Open science0.0020.008
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 head0.095
GPT teacher head0.491
Teacher spread0.396 · 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

Citations4
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueClinical Nursing StudiesSame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207