{"id":"W4311119882","doi":"10.1111/imig.13086","title":"Tolerated, threatening and celebrated: How Canadian news media frames temporary migrant workers","year":2022,"lang":"en","type":"article","venue":"International Migration","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mainstream; Migrant workers; Newspaper; Immigration; State (computer science); Media coverage; Work (physics); Political science; Sociology; Demographic economics; Media studies; Economic growth; Law; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004039153,0.0006709951,0.0003420085,0.008825438,0.01384344,0.01322147,0.0009813393,0.001483441,0.0053876],"category_scores_gemma":[0.01646722,0.000325722,0.0002116851,0.00687545,0.008391818,0.00364483,0.002768434,0.002106512,0.0004557024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02813935,"about_ca_system_score_gemma":0.01968028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7722588,"about_ca_topic_score_gemma":0.8275455,"domain_scores_codex":[0.9975617,0.0007673158,0.00009238508,0.0002160299,0.0008288579,0.0005336785],"domain_scores_gemma":[0.9814191,0.01111787,0.002241407,0.000368883,0.003770178,0.001082686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001175969,0.00002337259,0.0171261,0.0002824308,0.00001216499,0.0009048554,0.9560407,0.00004783647,0.001412725,0.003890551,0.004652707,0.01548896],"study_design_scores_gemma":[0.000005605374,0.00002475645,0.0339357,0.0006079582,0.00003722029,0.0001604492,0.8852978,0.0001507262,0.0006220325,0.0003292617,0.07878397,0.00004453883],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069733,0.002894645,0.0004086618,0.00671415,0.000365951,0.0000620403,0.000760179,0.00004134368,0.08177968],"genre_scores_gemma":[0.990229,0.002197583,0.0002589274,0.000653594,0.0001523998,0.00002418984,0.0002075231,0.00004358364,0.006233207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2277412,"threshold_uncertainty_score":0.4581649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184611986500122,"score_gpt":0.3278081846144962,"score_spread":0.2859620647494949,"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."}}