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Record W2943405258 · doi:10.1186/s12954-019-0297-3

“You can’t chain a dog to a porch”: a multisite qualitative analysis of youth narratives of parental approaches to substance use

2019· article· en· W2943405258 on OpenAlexafffundabout
Allie Slemon, Emily Jenkins, Rebecca Haines‐Saah, Zachary Daly, Sunny Jiao

Bibliographic record

VenueHarm Reduction Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of CalgaryUniversity of British ColumbiaUniversity of British Columbia Hospital
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchKillam Trusts
KeywordsQualitative researchPsychologySubstance useSubstance abuseYouth studiesGrounded theoryHealth psychologyNarrative inquiryMental healthDevelopmental psychologySocial psychologyNarrativeSociologyPublic healthClinical psychologyMedicinePsychiatrySocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Reducing harms of youth substance use is a global priority, with parents identified as a key target for efforts to mitigate these harms. Much of the research informing parental responses to youth substance use are grounded in abstinence and critiqued as ineffective and unresponsive to youth contexts. Parental provision of substances, particularly alcohol, is a widely used approach, which some parents adopt in an attempt to minimize substance use harms; however, research indicates that this practice may actually increase harms. There is an absence of research exploring youth perspectives on parental approaches to substance use or the approaches youth find helpful in minimizing substance use-related harms. METHODS: This paper draws on interviews with youth aged 13-18 (N = 89) conducted within the Researching Adolescent Distress and Resilience (RADAR) study in three communities in British Columbia, Canada. An ethnographic approach was used to explore youth perspectives on mental health and substance use within intersecting family, social, and community contexts. This analysis drew on interview data relating to youth perspectives on parental approaches to substance use. A multisite qualitative analysis (MSQA) was conducted to examine themes within each research site and between all three sites to understand how youth perceive and respond to parental approaches to substance use in different risk environment contexts. RESULTS: Within each site, youths' experiences of and perspectives on substance use were shaped by their parents' approaches, which were in turn situated within local social, geographic, and economic community contexts. Youth descriptions of parental approaches varied by site, though across all sites, youth articulated that the most effective approaches were those that resonated with the realities of their lives. Zero-tolerance approaches were identified as unhelpful and unresponsive, while approaches that were aligned with harm reduction principles were viewed as relevant and supportive. CONCLUSIONS: Youth perspectives illustrate that parental approaches to substance use that are grounded in harm reduction principles resonate with young people's actual experiences and can support the minimization of harms associated with substance use. Evidence-based guidance is needed that supports parents and young people in adopting more contextually responsive harm reduction approaches to youth substance use.

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)0.015
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.029
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0080.008
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.144
GPT teacher head0.350
Teacher spread0.206 · 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 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

Citations24
Published2019
Admission routes3
Has abstractyes

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