Towards an integrative self: a digital photo elicitation study of resilience among key marginalized populations of sexual and gender minority youth
Bibliographic record
Abstract
PURPOSE: Sexual and gender minority youth (SGMY) experience unique challenges related to identity and disclosure, and cope in vibrant ways. Qualitative research has not yet fulsomely explored the risk, resilience, and identity intersections that impact vulnerable SGMY wellbeing. Methods: This digital photo-elicitation study (QueerView) recruited thirty SGMY (aged 14-29) from priority populations that had one or more of the following experiences: trans and gender diverse, homelessness, child welfare, and immigration. From submission of fifteen photos representing resilience and a semi-structured interview via web conferencing, constructivist grounded theory was utilized for multimodal analysis of photos, interview video, and interview transcript. Triangulation, an audit trail, and member checking were employed to support trustworthiness. Results: A visual model emerged showing how participants work towards an integrative self, with themes of reflecting and knowing, discrimination and intersectional challenges, connecting, performing, curating, coping, (re)defining and (re)creating, growing and being. Sub-themes of the impact of family dynamic and values, mental health and trauma, and the cathartic benefit from advocacy and leadership offered insight. Participant images were captured in a digital gallery. Conclusions: QueerView animates the complex lives of multiply marginalized SGMY and their intersectional strengths and challenges while demonstrating the utility of a digital multimodal approach.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".