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Record W4200354914 · doi:10.1177/0044118x211062354

Social Norms of Pregnancy and Pregnancy Attitudes Among Youth Experiencing Homelessness

2021· article· en· W4200354914 on OpenAlexaff
Stephanie Begun, Anamika Barman‐Adhikari, Andrea Greenblatt, Priyanka Sahajpal, D. R. Campbell, Krysta Cooke, Eric Rice

Bibliographic record

VenueYouth & Society · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPregnancyPsychologyTeen pregnancyMultivariate analysisSocial psychologyDevelopmental psychologyClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Building upon literature that considers social network influences on health attitudes and behaviors among youth experiencing homelessness, this study assessed associations regarding social norms of pregnancy, perceived by youth experiencing homelessness (ages 13–25; N = 304) as endorsed by their network members, and youths’ pregnancy attitudes. Multivariate results revealed that youth who perceived their street peers as more objecting to (versus encouraging of) them becoming involved in a pregnancy were 51% less likely to endorse pro-pregnancy attitudes ( OR = 0.49, p < .01). Youth who perceived their serious partners as more objecting to their pregnancy involvement were 74% less likely to endorse pro-pregnancy attitudes ( OR = 0.26, p < .01). Results suggest utility in exploring peer-based and dyadic approaches to prevention efforts with this group.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.067
GPT teacher head0.375
Teacher spread0.307 · 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 designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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