{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002272483,0.0001299646,0.0001345559,0.0002395751,0.001173627,0.00003919227,0.0001384564,0.00006680895,0.0007272395],"category_scores_gemma":[0.00009078822,0.000121959,0.00003441397,0.0001751198,0.00003208336,0.0002219427,0.0001012612,0.0003737487,0.00002384632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798803,"about_ca_system_score_gemma":0.0002345891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2034297,"about_ca_topic_score_gemma":0.5285087,"domain_scores_codex":[0.9987823,0.0001777477,0.0002468951,0.0002334052,0.0003032442,0.0002563577],"domain_scores_gemma":[0.999361,0.0001683388,0.0001335417,0.00009251459,0.0001293684,0.0001151913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003906621,0.00001222266,0.873385,0.000006691193,0.00005946023,0.00001203611,0.009264873,0.0000299669,0.0001435266,0.0006780275,0.1141714,0.002197814],"study_design_scores_gemma":[0.0008371275,0.00007186269,0.2723187,0.00008509833,0.00002453718,0.000006449865,0.03073633,0.001016213,0.00003191917,0.001774151,0.6928006,0.0002969193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077398,0.0005153734,0.00006181647,0.08552833,0.001645506,0.0003455409,0.0001358799,0.00007835615,0.0039494],"genre_scores_gemma":[0.991969,0.00007396452,0.0001234128,0.001919058,0.0003316492,0.0002461472,0.0005651266,0.00001854578,0.004753106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6010662,"threshold_uncertainty_score":0.9026708,"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."}}