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Record W2584354920 · doi:10.1080/17482631.2016.1275155

Mapping the social determinants of substance use for pregnant-involved young Aboriginal women

2017· article· en· W2584354920 on OpenAlexafffundabout
Sana Shahram, Joan L. Bottorff, Nelly D. Oelke, Donna Kurtz, Victoria Thomas, Patricia M. Spittal, and For the Cedar Project Partnersh

Bibliographic record

VenueInternational Journal of Qualitative Studies on Health and Well-Being · 2017
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersInstitute of Aboriginal Peoples HealthCanadian Institutes of Health Research
KeywordsIndigenousShameSocioeconomic statusContext (archaeology)SpiritualitySubstance usePsychologySocial environmentDevelopmental psychologyPerspective (graphical)Mental healthSocial psychologyMedicineClinical psychologySociologyPsychiatryPopulationGeographyEnvironmental healthAlternative medicineSocial science

Abstract

fetched live from OpenAlex

There is a dearth of knowledge about the social determinants of substance use among young pregnant-involved Indigenous women in Canada from their perspectives. As part of life history interviews, 17 young pregnant-involved Indigenous women with experiences with substances completed a participant-generated mapping activity CIRCLES (Charting Intersectional Relationships in the Context of Life Experiences with Substances). As women created their maps, they discussed how different social determinants impacted their experiences with pregnancy and substance use. The social determinants identified and used by women to explain determinants of their substance use were grouped into 10 themes: traumatic life histories; socioeconomic status; culture, identity and spirituality; shame and guilt; mental wellness; family connections; romantic and platonic relationships; strength and hope; mothering; and the intersections of determinants. We conclude that understanding the context and social determinants of substance use from a woman-informed perspective is paramount to informing effective and appropriate programs to support young Indigenous women who use substances.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.365
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.131
GPT teacher head0.474
Teacher spread0.343 · 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.

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

Citations27
Published2017
Admission routes3
Has abstractyes

Explore more

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