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Record W4396938685 · doi:10.1177/15562646241253953

Obtaining Consent for Research on Risky Behaviours Among Adolescents in Canada: A Scoping Review

2024· review· en· W4396938685 on OpenAlexaffabout
Lillian MacNeill, A. Luke MacNeill, Shelley Doucet, Alison Luke, Alex Goudreau

Bibliographic record

VenueJournal of Empirical Research on Human Research Ethics · 2024
Typereview
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGuardianInformed consentParental consentLegal guardianPsychologyFamily medicineMedicineAlternative medicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

This scoping review explores current practices for obtaining consent in research on risky behaviours among adolescents in Canada. The JBI methodology for scoping reviews was used. The database search was conducted in August 2021 and updated in November 2022. Papers published in 2010 or later were included. Extracted data included study characteristics, sample characteristics, and consent procedures. The review included 83 reports covering 57 studies. Nearly 60% of studies relied on adolescent self-consent for participation. Adolescent self-consent was more common than parental/guardian consent for studies using in-person research methods, older adolescent groups, and particularly vulnerable populations. Parental/guardian consent was more common for studies using younger age groups and general population samples. Adolescent self-consent was more common than parental/guardian consent for most risky behaviours covered by this review. These results provide insight into current consent practices in this area and offer guidance to researchers and institutional review boards in Canada.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearch
Domain: Methods · Genre: Review
About the Canadian research system: no · About a Canadian topic: yes
Systematic reviewhigh
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: yes
Systematic reviewhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.427
metaresearch head score (Gemma)0.570
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Bibliometrics, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.4270.570
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0110.010
Science and technology studies0.0020.006
Scholarly communication0.0010.000
Open science0.0050.003
Research integrity0.0050.210
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 head0.975
GPT teacher head0.820
Teacher spread0.156 · 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

Labeled directly by 2 models reading the full record.

Metaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designSystematic review
DomainMethods
GenreReview

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
Published2024
Admission routes2
Has abstractyes

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