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Record W4317869363 · doi:10.1007/s11013-022-09813-1

Staying Together No Matter What: Becoming Young Parents on the Streets of Vancouver

2023· article· en· W4317869363 on OpenAlexafffundabout
Danya Fast, Reith Charlesworth, Madison Thulien, Andrea Krüsi, Jane A. Buxton, Sarah West, Corrina Chase, Daniel Manson

Bibliographic record

VenueCulture Medicine and Psychiatry · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMétis National CouncilAssembly of First NationsBritish Columbia Centre on Substance UseUniversity of British Columbia
FundersNational Institute on Drug AbuseCanadian Institutes of Health ResearchHospital for Sick ChildrenNational Institutes of HealthMichael Smith Health Research BCVancouver FoundationFoundation for the National Institutes of Health
KeywordsHarmContext (archaeology)PovertyCriminologyIndigenousRomanceEconomic JusticeSociologyGender studiesPsychologySocial psychologyPolitical scienceHistoryPsychoanalysisLaw

Abstract

fetched live from OpenAlex

Among young people who use drugs in the context of entrenched poverty and homelessness, pregnancy is often viewed as an event that can meaningfully change the trajectory of their lives. However, youth's desires and decision-making do not always align with the perspectives of various professionals and systems regarding how best to intervene during pregnancies and early parenting. Drawing on longitudinal interviews and fieldwork with young people in Vancouver, Canada, we explore how their romantic relationships powerfully shaped understandings of what was right and wrong and which actions to take during pregnancy and early parenting, and how these moral worlds frequently clashed with the imperatives of healthcare, criminal justice, and child protection systems. We demonstrate how a disjuncture between youth's desires, decision-making and moralities, and the systems that are intended to help them, can further entrench young people in cycles of loss, defeat, and harm. These cycles are powerfully racialized for young Indigenous people in our context.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0310.006
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.003
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 head0.062
GPT teacher head0.403
Teacher spread0.341 · 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
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

Citations7
Published2023
Admission routes3
Has abstractyes

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