{"id":"W4321785933","doi":"10.12797/politeja.19.2022.81.14","title":"Canada’s Temporary Labor Migration Policy: The Case of Mexican Seasonal Agricultural Workers","year":2023,"lang":"en","type":"article","venue":"Politeja","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Employment and Social Development Canada; University of Toronto; Government of Canada; University of Windsor","keywords":"Immigration; Economic shortage; Migrant workers; Agriculture; Prism; Demographic economics; Political science; Farm workers; Immigration policy; Economic growth; Geography; Development economics; Labour economics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002793816,0.00006703327,0.00007839168,0.00004651413,0.0003625739,0.00003858079,0.000139321,0.00004301901,0.00005594488],"category_scores_gemma":[0.0001855285,0.00004375188,0.0000386044,0.00102609,0.0001256984,0.00008352318,0.00001956145,0.00007198207,0.000007208911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168602,"about_ca_system_score_gemma":0.002480067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841233,"about_ca_topic_score_gemma":0.9979555,"domain_scores_codex":[0.9991254,0.0001583107,0.0001421341,0.00009812111,0.0002413557,0.0002346368],"domain_scores_gemma":[0.999468,0.0001177607,0.0000786591,0.0001070495,0.0001106626,0.0001178982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001141295,0.00002540605,0.07316969,0.00001669358,0.00004378079,0.00009196963,0.0434147,0.0001852007,0.0001234453,0.5029094,0.3776869,0.002321369],"study_design_scores_gemma":[0.0002164037,0.00001932058,0.2781042,0.00002108673,0.00002347468,0.00002361089,0.1516624,0.001610324,0.00007398448,0.001330114,0.566654,0.0002610821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031801,0.00004508406,0.000001431498,0.08738323,0.0001289718,0.000124509,0.000225301,0.00004946872,0.008861906],"genre_scores_gemma":[0.9878224,0.00003959957,0.00001354243,0.0009002931,0.0003163276,0.000007766328,0.00005526139,0.000004600814,0.01084021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5015793,"threshold_uncertainty_score":0.4399532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460342640984846,"score_gpt":0.2888356469822701,"score_spread":0.2742322205724216,"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."}}