{"id":"W4378364093","doi":"10.1007/s12134-023-01043-7","title":"The Education-Immigration Nexus: Situating Canadian Higher Education as Institutions of Immigrant Recruitment","year":2023,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Immigration; Nexus (standard); Settlement (finance); Higher education; Immigration policy; Political science; Demographic economics; Economic growth; Sociology; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003508363,0.000280636,0.0002801736,0.001168925,0.0007828492,0.0007376354,0.0005724194,0.0002442692,0.0003199653],"category_scores_gemma":[0.002718317,0.0002451078,0.0002070903,0.0009609575,0.0003004369,0.001582569,0.00003304802,0.0004998129,0.00004848235],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794114,"about_ca_system_score_gemma":0.009890041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05844411,"about_ca_topic_score_gemma":0.2145298,"domain_scores_codex":[0.9962007,0.0007739296,0.001430196,0.00030325,0.0009562331,0.0003357228],"domain_scores_gemma":[0.993718,0.001000483,0.001409077,0.000229928,0.003312037,0.0003305147],"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":[0.0001077324,0.0003396503,0.01071953,0.00001539754,0.0001251882,0.000003132487,0.02980229,0.0005791072,0.004972996,0.8755377,0.04636937,0.03142792],"study_design_scores_gemma":[0.0004834603,0.0001837572,0.06728838,0.0005975967,0.00005145505,0.00008584355,0.0238158,0.001719675,0.001883497,0.02998156,0.8735898,0.0003191518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5825602,0.001794597,0.01777352,0.2363677,0.01186717,0.002052928,0.0001145472,0.0002024453,0.1472669],"genre_scores_gemma":[0.9603834,0.008297053,0.003297574,0.002577716,0.001080214,0.0003393166,0.0003864786,0.00003017679,0.02360808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8455561,"threshold_uncertainty_score":0.9995205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04328096158321039,"score_gpt":0.3798014641458093,"score_spread":0.336520502562599,"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."}}