{"id":"W4408117234","doi":"10.1080/29933021.2025.2471826","title":"“I’ve survived a lot of things that not everyone survives”: A digital photo elicitation study of the roles of social media in the lives of child welfare-involved sexual and gender diverse youth","year":2025,"lang":"en","type":"article","venue":"Sexual and Gender Diversity in Social Services","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Welfare; Social media; Photo elicitation; Psychology; Sociology; Social psychology; Internet privacy; Developmental psychology; Computer science; Political science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007001254,0.0001492041,0.0003612685,0.0001292287,0.0008805377,0.00003573879,0.000394219,0.0001259533,0.00000789249],"category_scores_gemma":[0.0000349319,0.0001169887,0.00005859665,0.0005191636,0.0004838335,0.0004248578,0.0005286395,0.0001598517,1.035378e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003002911,"about_ca_system_score_gemma":0.00004037955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01690885,"about_ca_topic_score_gemma":0.08719724,"domain_scores_codex":[0.9981356,0.0004772048,0.0003028935,0.0002490027,0.0006450354,0.0001902478],"domain_scores_gemma":[0.9991688,0.0002378501,0.0003322747,0.00009427332,0.0001407258,0.00002607458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001382411,0.0003524842,0.3238438,0.000166875,0.00007994819,4.758782e-7,0.6743103,0.000002235887,0.00003591145,0.0005866311,0.000002926976,0.0004802012],"study_design_scores_gemma":[0.0006351148,0.00003588123,0.4572528,0.000009901059,0.00007071945,2.975078e-8,0.541422,0.000004971788,0.00001454177,0.0004914181,0.000003042996,0.00005955166],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974184,0.000116974,0.000001918177,0.0002914021,0.00009515324,0.0004221422,0.0002026596,0.000008200033,0.00144312],"genre_scores_gemma":[0.9997768,0.00003501799,0.000001824298,0.00009929078,0.00004514451,0.000001915557,0.0000236528,0.000003840913,0.00001255316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133409,"threshold_uncertainty_score":0.9896376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06117867946754783,"score_gpt":0.2813880670271323,"score_spread":0.2202093875595844,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}