How intersecting forms of oppression shape marginalised adolescents’ healthcare experiences: Protocol for a systematic scoping review
Bibliographic record
Abstract
Introduction Hierarchical socially constructed norms (e.g., cisnormativity, heterosexism, classism, ableism, racism) impact the quality of healthcare received by adolescents with ‘minoritised’ lived/living experiences, identities, and backgrounds. It remains unclear how factors impacting experiences of receiving and utilising primary and mental healthcare differ, overlap, or interact among adolescents holding multiple socially oppressed positions via an intersectional lens. Methods CINAHL, MEDLINE, Embase, Emcare, and PsycInfo will be searched for eligible articles (2005-2025). The SPIDER approach will generate search logic: ‘ Sample’ (multiply marginalised youth aged 12-25yrs), ‘ Phenomenon of Interest’ (receipt/utilisation of primary and mental healthcare services) ‘ Design’ (qualitative studies), ‘ Evaluation’ (young people’s first-hand accounts), ‘ Research Type ’ (original peer-reviewed qualitative research). Results Title/abstract screening will be conducted in ASReview until 50% screened or a data-driven stopping rule of 100 consecutive records. A second reviewer will manually screen a random 10% of records i) screened and ii) records not seen by the first reviewer. One reviewer decision will review full-texts and perform data extraction included studies, with a second reviewer screening a random 20% equivalent of all full-texts and extracted articles, respectively. Summative content analysis in NVivo will synthesise findings. Discussion This scoping review will systematically identify and synthesise available qualitative research exploring the lived experiences of adolescents receiving and utilising primary and mental healthcare services while navigating multiple axes of oppression. Working with LEAG members and by using NVivo query-/matrix- functions, the overlapping and distinct experiences of multiply marginalised adolescents and the cumulative effects of these unique synergises of oppression will be elucidated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.145 | 0.133 |
| Meta-epidemiology (narrow) | 0.007 | 0.008 |
| Meta-epidemiology (broad) | 0.016 | 0.016 |
| Bibliometrics | 0.019 | 0.016 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.086 | 0.016 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".