{"id":"W4320154762","doi":"10.51897/interalia/oeqg9994","title":"“How Can You Put This All Down in One Story?” Transgender Refugees’ Experiences of Forced Migration, Border Crossings, and the Asylum Process in Canada Through Oral History and Photovoice","year":2022,"lang":"en","type":"article","venue":"interalia a journal of queer studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Transgender; Gender studies; Photovoice; Immigration; Persecution; Sexual orientation; Asylum seeker; Agency (philosophy); Political science; Queer; Sociology; Criminology; Politics; Law; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108177,0.0001273342,0.0003774294,0.0001081729,0.0003393397,0.00005368727,0.0001951179,0.00003047991,0.00006532376],"category_scores_gemma":[0.0002986723,0.00009009636,0.00004580742,0.0001915011,0.0005968104,0.0005201531,0.00002647719,0.0002997717,1.741653e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008992,"about_ca_system_score_gemma":0.001083401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5846649,"about_ca_topic_score_gemma":0.9839342,"domain_scores_codex":[0.9981562,0.0005251796,0.0004439135,0.0001531591,0.0005363242,0.0001851496],"domain_scores_gemma":[0.9989851,0.0001295813,0.0004115121,0.00006768294,0.0003675769,0.00003857433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001819406,0.00002936029,0.005304196,0.00002843786,0.00008014953,0.000004878136,0.9842477,0.00002288513,0.0001271309,0.0005766305,0.009194573,0.0002021064],"study_design_scores_gemma":[0.001297212,0.0001575206,0.001866418,0.0001029053,0.00003691616,0.000009933215,0.7796643,0.00008183392,0.0003059375,0.000630169,0.2156908,0.0001561192],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972908,0.01469927,0.00002092087,0.01154058,0.0004703909,0.0002195231,0.000005464806,0.00000296727,0.0001328634],"genre_scores_gemma":[0.9963292,0.0009806837,0.00008511139,0.0005650395,0.0000454355,0.00006031893,0.000001103071,0.00000608966,0.001927039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3992693,"threshold_uncertainty_score":0.4181009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269001391560635,"score_gpt":0.3290348097568002,"score_spread":0.2863447958411939,"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."}}