{"id":"W4403500157","doi":"10.26522/ssj.v18i3.4801","title":"Unpacking Mental Health: Intersectionality-informed Approaches to Upholding Human Rights and Realizing Social Justice (Guest Editors' Introduction)","year":2024,"lang":"en","type":"article","venue":"Studies in Social Justice","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; York University","funders":"","keywords":"Unpacking; Intersectionality; Social justice; Human rights; Sociology; Economic Justice; Mental health; Political science; Law and economics; Gender studies; Law; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001439282,0.0003219182,0.000585656,0.0002767551,0.01052831,0.00005085489,0.0001347187,0.000164663,0.00002826837],"category_scores_gemma":[0.000367091,0.0003016651,0.00008614125,0.000642247,0.000365865,0.0003386152,0.0005700833,0.000837101,0.00003956672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568363,"about_ca_system_score_gemma":0.0001235498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005614599,"about_ca_topic_score_gemma":0.002941023,"domain_scores_codex":[0.9969541,0.0004295264,0.0008285204,0.0005854697,0.0004145303,0.0007878757],"domain_scores_gemma":[0.998743,0.0007335125,0.0001814969,0.0001013709,0.0001418392,0.0000987667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005107241,0.00003372998,0.0004366193,0.003317602,0.0002466478,0.000004555655,0.203285,0.000001091093,0.0000141291,0.05943249,0.7326675,0.0005095909],"study_design_scores_gemma":[0.0005555103,0.00009289666,0.002017599,0.0007749607,0.0003392293,0.00000241103,0.2981264,0.000008155587,0.000005278949,0.003169404,0.6945434,0.0003647568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.2333733,0.007426967,0.0002744186,0.325002,0.3362767,0.004911112,0.0003115276,0.00150978,0.09091425],"genre_scores_gemma":[0.6946447,0.0003444723,0.0002800348,0.001778402,0.2983028,0.0004931896,0.00009846067,0.00006958919,0.003988366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4612713,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2744495503110992,"score_gpt":0.495491163280514,"score_spread":0.2210416129694147,"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."}}