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Record W4293482684 · doi:10.1097/nmd.0000000000001545

Stigma as a Source of Stress for Adolescent Mothers and Their Babies

2022· review· en· W4293482684 on OpenAlexaff
Jean‐Victor P. Wittenberg, Lois T. Flaherty, Daniel F. Becker, Gordon Harper, Jake Crookall, Natasha Vianna

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2022
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsNOSM UniversityUniversity of Toronto
Fundersnot available
KeywordsStigma (botany)Psychological interventionPsychologySocial stigmaPopulationCoronavirus disease 2019 (COVID-19)PandemicDevelopmental psychologyMedicinePsychiatryEnvironmental healthFamily medicineHuman immunodeficiency virus (HIV)Disease

Abstract

fetched live from OpenAlex

ABSTRACT: Adolescent pregnancy and the babies of teen mothers have been a focus of attention and concern for many years. The literature on the health of pregnant and parenting teens, however, is largely silent about the impact of stigma on them and their children. Stigma is a pervasive cultural attitude, which leads us to overlook potentially good outcomes for this vulnerable population and contributes to poor outcomes for these mothers and babies. Stigma is a cause of stress leading to well-known adverse effects on health and development for both mothers and babies. This article reviews manifestations of social stigma in our communities, in the offices of professionals, and in policies that embed bias in our social systems. The impact of inequity has been vividly revealed over the course of the global pandemic. We review findings related to interventions associated with better outcomes and offer suggestions for more humane care and policies.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.042
GPT teacher head0.333
Teacher spread0.291 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Nervous and Mental DiseaseSame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207