{"id":"W4406998141","doi":"10.1515/9781478091516-021","title":"18. Interrogating Managed Migration’s Model: A Counternarrative of Canada’s Seasonal Agricultural Workers Program","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Geography; Agricultural economics; Agricultural science; Business; Environmental science; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050811,0.0006369735,0.0004059138,0.001374687,0.05136003,0.01575663,0.002902973,0.007253326,0.003882195],"category_scores_gemma":[0.007559169,0.0004192161,0.0005020916,0.002526037,0.03505549,0.004347618,0.005298229,0.01211459,0.0002331125],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1857334,"about_ca_system_score_gemma":0.2645165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886154,"about_ca_topic_score_gemma":0.9929208,"domain_scores_codex":[0.9931203,0.001683934,0.00009601373,0.0006208806,0.002010539,0.002468387],"domain_scores_gemma":[0.9947698,0.001513656,0.000219984,0.0001699387,0.001985941,0.001340719],"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":[0.00002653783,0.00003077139,0.002196466,0.00009107753,0.000008178027,0.0005721851,0.1962368,0.0003131179,0.0002401002,0.7120801,0.07932043,0.008884174],"study_design_scores_gemma":[0.00002156533,0.00002611292,0.003368183,0.0004540675,0.00002436389,0.0001717928,0.2277291,0.0008024385,0.0002887345,0.02139097,0.7456453,0.00007741071],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1229581,0.006114105,0.003482048,0.4550062,0.002137659,0.0001217104,0.0003593435,0.0000741845,0.4097467],"genre_scores_gemma":[0.8623309,0.00309957,0.001796914,0.05941979,0.0002773375,0.0001054217,0.0001005316,0.0001024127,0.07276707],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1857334,"threshold_uncertainty_score":0.9444338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793249263322786,"score_gpt":0.2680868792814912,"score_spread":0.2401543866482634,"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."}}