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Record W4283389196 · doi:10.1177/10497323221110694

Counter-Narratives of Structural Oppressions, Stigma and Resistance, and Reproductive and Sexual Health Among Youth Experiencing Homelessness

2022· article· en· W4283389196 on OpenAlexaff
Emilia Henriques, Catherine Schmidt, Rachael Pascoe, Kira Liss, Stephanie Begun

Bibliographic record

VenueQualitative Health Research · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Toronto
FundersSociety of Family Planning
KeywordsStigma (botany)NarrativeReproductive healthOppressionResistance (ecology)AmbivalenceGender studiesSociologyEmpathyPsychologyCriminologySocial psychologyPolitical sciencePoliticsPopulationPsychiatry

Abstract

fetched live from OpenAlex

Youth experiencing homelessness (YEH) face myriad injustices regarding their reproductive and sexual health and rights. Reproductive and sexual health research with YEH often explores condom-use and sexually transmitted infections, potentially contributing to narrow conceptualizations of YEH as "unclean" or in need of disease-screening. A narrative theory perspective was applied to this study, which allowed for the emergence of alternative storylines, or counter-narratives, which attend to manifestations of power and oppression within the lives of marginalized individuals. Qualitative interviews engaged 30 young people (ages 18-21) accessing shelter services. Narrative analyses identified YEHs' documentations of dominant narratives related to structural oppressions, stigma, and numerous dimensions of reproductive and sexual health including how they create, through their resistance, counter-narratives that include their preferred futures. YEH emphasized systemic sources of stigma and outlined their criticisms of the state. Within-group stigma emerged as a noteworthy theme, with YEH showing both empathy and ambivalence towards other YEH, along with internalization of stigmatizing narratives about pregnancy and homelessness. Approaches to service provision that further amplify youths' voices in naming and challenging the many oppressions and stigmas they face should be prioritized. Moreover, policies should be implemented to dismantle the actual root causes of challenges faced by YEH, rather than perpetuating them through measures rooted in interlocking oppressions of discrimination, inequity, and judgment.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0070.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.345
GPT teacher head0.583
Teacher spread0.238 · 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.

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

Citations21
Published2022
Admission routes1
Has abstractyes

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