{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002194639,0.0006874868,0.0004577351,0.001120142,0.03826771,0.0104749,0.001800519,0.002172783,0.005652164],"category_scores_gemma":[0.004987241,0.0002902076,0.0004027714,0.001964917,0.02580054,0.00457594,0.005126902,0.007047446,0.0007298047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03130513,"about_ca_system_score_gemma":0.02832513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8878298,"about_ca_topic_score_gemma":0.9488126,"domain_scores_codex":[0.9978168,0.0009862091,0.00003887071,0.0001370446,0.0003731601,0.0006478922],"domain_scores_gemma":[0.9980704,0.0005060982,0.0001583369,0.0000725391,0.0004431548,0.0007493616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002042603,0.00001332862,0.002015636,0.00006351343,0.000005335541,0.0007699757,0.9496537,0.00003331487,0.0002563803,0.008600642,0.03095994,0.00760794],"study_design_scores_gemma":[0.000001810735,0.000005482173,0.001370706,0.00009760936,0.000003754187,0.0002208161,0.9228321,0.00001938032,0.00008016029,0.000328638,0.07502149,0.00001800778],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.611055,0.01661223,0.002697806,0.1839021,0.002798794,0.000208557,0.0007154472,0.0001673624,0.1818427],"genre_scores_gemma":[0.9361039,0.006699187,0.0009153181,0.01049611,0.0001204377,0.00007831777,0.0001509538,0.0001179011,0.04531782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121702,"threshold_uncertainty_score":0.2271357,"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."}}