{"id":"W3175901193","doi":"10.1080/02722011.2021.1874787","title":"Researching, Monitoring, and Managing: Immigration Policy Work in Canada","year":2021,"lang":"en","type":"article","venue":"The American Review of Canadian Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bureaucracy; Immigration; Immigration policy; Work (physics); Stakeholder; Public administration; Political science; Government (linguistics); American exceptionalism; Public relations; Politics; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006471292,0.00006989216,0.0002526336,0.0001644045,0.0002823155,0.00001811157,0.0001221837,0.000007183364,0.00001094252],"category_scores_gemma":[0.001009372,0.00005228938,0.00002552352,0.001775193,0.0003046192,0.00006527533,0.00001979287,0.00009102176,0.0000010189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707601,"about_ca_system_score_gemma":0.004243643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991498,"about_ca_topic_score_gemma":0.9999431,"domain_scores_codex":[0.9987816,0.0003905013,0.0002132548,0.0001190708,0.0002647423,0.0002307851],"domain_scores_gemma":[0.9992652,0.0001398559,0.0001259161,0.0001490157,0.0002128837,0.0001071257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001372508,0.00001402367,0.1608594,0.001138875,0.0001900273,0.00003120357,0.08824741,0.000005857807,0.00003326598,0.04149886,0.09683962,0.6111277],"study_design_scores_gemma":[0.00006955727,0.00003017539,0.1787749,0.00369715,0.00003503231,0.000001680234,0.11556,0.000003265468,0.00007661507,0.001225414,0.7003248,0.0002013969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4925829,0.4212529,0.000002022308,0.07728186,0.0001512396,0.0003640802,0.00001102612,0.000007497211,0.008346412],"genre_scores_gemma":[0.5156151,0.4829093,0.00004761662,0.0008620144,0.0001021866,0.0000156863,0.000001725095,0.000003346667,0.0004429882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6109263,"threshold_uncertainty_score":0.752804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800894190333656,"score_gpt":0.370776663101879,"score_spread":0.3327677211985424,"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."}}