{"id":"W7161763761","doi":"10.82308/39189","title":"From immigrants to ideal citizens: Canadian government approaches to molding newcomers","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Government (linguistics); Politics; National identity; Identity (music); Democracy; Good citizenship; Immigration policy","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":[0.007198008,0.0006581484,0.0004363766,0.00314227,0.05862679,0.01846228,0.002771614,0.00319885,0.004237434],"category_scores_gemma":[0.009065273,0.0004603044,0.0005289559,0.00362028,0.04812741,0.004315776,0.01169538,0.005772113,0.0002845266],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1505317,"about_ca_system_score_gemma":0.1852591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9655493,"about_ca_topic_score_gemma":0.9796394,"domain_scores_codex":[0.9922666,0.002606767,0.000155044,0.0007626211,0.001427746,0.002781252],"domain_scores_gemma":[0.9944267,0.001830088,0.000355599,0.0002744841,0.001350964,0.001762086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002157373,0.00002023497,0.002881488,0.0000386825,0.000004371839,0.0003403182,0.9034572,0.00009560206,0.0002150226,0.08225188,0.002534955,0.008138682],"study_design_scores_gemma":[0.000006398198,0.00001349009,0.002594931,0.0001362893,0.00001152226,0.00007559017,0.9160424,0.0001820383,0.0001510769,0.004463816,0.07629246,0.00002990928],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7063373,0.002321712,0.002005199,0.02631977,0.0003985988,0.0001903616,0.00009224445,0.00005816225,0.2622766],"genre_scores_gemma":[0.9824661,0.0008599843,0.0008411779,0.001432122,0.00002000567,0.00003935562,0.00003325321,0.00003055187,0.01427742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1505317,"threshold_uncertainty_score":0.9852628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09244071366586627,"score_gpt":0.3037833433554597,"score_spread":0.2113426296895934,"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."}}