{"id":"W4391615839","doi":"10.32920/25164302.v1","title":"Latin AmeriCan: Collecting Histories of Mexican Immigration to Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Consejo Nacional de Ciencia y Tecnología, Paraguay; Consejo Nacional de Ciencia y Tecnología","keywords":"Latin Americans; Immigration; Citizen journalism; Narrative; Diversity (politics); Refugee; Political science; Library science; Geography; Gender studies; Sociology; Law; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003022561,0.0003883083,0.0003024995,0.003688852,0.03117587,0.00508965,0.00119756,0.0007405399,0.005861775],"category_scores_gemma":[0.006793252,0.0002985901,0.0001843346,0.007119113,0.005824169,0.00139244,0.005615048,0.001277694,0.0003496982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04256286,"about_ca_system_score_gemma":0.06859688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9487839,"about_ca_topic_score_gemma":0.9850703,"domain_scores_codex":[0.9984982,0.000535942,0.00005432561,0.000181553,0.0003650226,0.0003649154],"domain_scores_gemma":[0.9963516,0.000926403,0.0002281933,0.0003050412,0.001513689,0.000675108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005352292,0.00003602675,0.01567065,0.0001569037,0.00001101695,0.0009829424,0.933908,0.00009210323,0.001271787,0.003187682,0.01452687,0.0301026],"study_design_scores_gemma":[0.00000250122,0.00001168801,0.01481476,0.0001944021,0.000008848393,0.000113441,0.8433762,0.00003379311,0.000283341,0.0001856115,0.1409586,0.00001688576],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909612,0.002944442,0.00118172,0.007360579,0.0001890532,0.000558153,0.003407229,0.00005908581,0.09333848],"genre_scores_gemma":[0.94739,0.00563264,0.003406995,0.001582539,0.00004458616,0.0005197171,0.001874975,0.00009994109,0.03944862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05121613,"threshold_uncertainty_score":0.3088167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4884525695269333,"score_gpt":0.6200192675409532,"score_spread":0.1315666980140199,"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."}}