{"id":"W1993951689","doi":"10.1080/14767724.2014.937403","title":"Neoliberal governmentality and Canadian migrant language training policies","year":2014,"lang":"en","type":"article","venue":"Globalisation Societies and Education","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Governmentality; Immigration; Citizenship; Context (archaeology); Official language; Government (linguistics); Political science; Sociology; Language proficiency; Public administration; Gender studies; Pedagogy; Linguistics; Law; Politics; History","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":[0.004070055,0.0001818809,0.0001549872,0.00176869,0.01485825,0.005308032,0.001270347,0.001939878,0.005476542],"category_scores_gemma":[0.005715421,0.0001788493,0.0002141102,0.002359558,0.01309314,0.001244984,0.003751306,0.002275123,0.0001634247],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.132077,"about_ca_system_score_gemma":0.1384121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740492,"about_ca_topic_score_gemma":0.9855039,"domain_scores_codex":[0.9950119,0.0006373406,0.0000794763,0.0002974769,0.001082237,0.00289158],"domain_scores_gemma":[0.9944978,0.0008909614,0.0004788608,0.0002447366,0.001827946,0.002059668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005578479,0.00005856475,0.01919754,0.00009715476,0.00001244277,0.000295007,0.03247972,0.001066825,0.0005999833,0.9010164,0.01543286,0.02968765],"study_design_scores_gemma":[0.00008707856,0.00009274081,0.2199478,0.001078522,0.00005814884,0.000193543,0.1091786,0.002691887,0.001080479,0.07576736,0.5896546,0.0001692776],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5142701,0.003893253,0.0009392369,0.1036755,0.0001592628,0.00006437314,0.0001839957,0.00006644868,0.3767478],"genre_scores_gemma":[0.9811543,0.0005990149,0.0002030005,0.003022284,0.00002468335,0.0000145734,0.00003289578,0.000008127062,0.01494121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.867923,"threshold_uncertainty_score":0.9582899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545371526496032,"score_gpt":0.2893510584917096,"score_spread":0.2738973432267493,"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."}}