{"id":"W2905683369","doi":"10.32920/ryerson.14655843.v1","title":"Creating access : an examination of the viability of Toronto's Don't Ask, Don't Tell policy as a tool of access for undocumented residents","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ask price; Service (business); Immigration; Enforcement; Public relations; Law enforcement; Business; Political science; Public administration; Law; Marketing","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":[0.009899741,0.0002089221,0.0002407987,0.001591371,0.01386773,0.007403434,0.00161705,0.001154018,0.004440628],"category_scores_gemma":[0.02199557,0.0002963295,0.0002911091,0.002811486,0.01433787,0.003332582,0.005348898,0.002049365,0.0001313383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07899979,"about_ca_system_score_gemma":0.06859933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8934708,"about_ca_topic_score_gemma":0.9535441,"domain_scores_codex":[0.9890568,0.00456723,0.0003299126,0.0003913056,0.002877683,0.002777124],"domain_scores_gemma":[0.9809343,0.009732819,0.002164538,0.00103379,0.003021898,0.003112742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001618267,0.0001335654,0.08144174,0.0004588752,0.00004143439,0.001313387,0.6550797,0.0004913992,0.0006522326,0.1782261,0.0104359,0.07156386],"study_design_scores_gemma":[0.00003975985,0.0001838722,0.2019998,0.0009323601,0.00008564956,0.000238603,0.6341174,0.0005835428,0.0004901574,0.005861635,0.1554101,0.00005720201],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7845204,0.002260609,0.0007717239,0.02161424,0.00008252622,0.0002291296,0.0002455151,0.00002528171,0.1902505],"genre_scores_gemma":[0.9909564,0.001261907,0.0004087607,0.000686131,0.00001769458,0.00004906047,0.00004164526,0.00001129244,0.006567186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1065292,"threshold_uncertainty_score":0.5731863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270811754614025,"score_gpt":0.4020024780549747,"score_spread":0.3592943605088345,"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."}}