{"id":"W4255559429","doi":"10.32920/ryerson.14665965","title":"A talent management future for economic immigration in Canada: building on best practice diversity/inclusion and intercultural competence training","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Enthusiasm; Immigration; Multiculturalism; Teamwork; Competence (human resources); Public relations; Human resources; Business; Economic growth; Human resource management; Political science; Economics; Management; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007437878,0.0004852229,0.0004193851,0.002550238,0.02525753,0.01589983,0.002263618,0.002060657,0.008206871],"category_scores_gemma":[0.008841637,0.0003747565,0.0005499919,0.002925905,0.006949301,0.003220011,0.008109153,0.003910536,0.0008401269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1035007,"about_ca_system_score_gemma":0.5376422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.965716,"about_ca_topic_score_gemma":0.988456,"domain_scores_codex":[0.9941576,0.001077434,0.0001126549,0.0002714354,0.001687118,0.002693693],"domain_scores_gemma":[0.983226,0.0006887041,0.0003478451,0.0002499569,0.00371526,0.01177211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000191569,0.0006092712,0.05429007,0.001104716,0.00006014667,0.001158398,0.05803089,0.001718464,0.001811592,0.1004683,0.262125,0.5184315],"study_design_scores_gemma":[0.00009030435,0.0002223347,0.1183973,0.003571276,0.0001076992,0.0004385721,0.2306132,0.003118527,0.001567249,0.02966604,0.611991,0.0002164151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1859729,0.01289733,0.00661799,0.6362815,0.002311511,0.0004994256,0.0005352845,0.0003412272,0.1545428],"genre_scores_gemma":[0.8847354,0.01155288,0.02777684,0.02213138,0.0003120907,0.0002317994,0.0003952962,0.0001080862,0.05275626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1035007,"threshold_uncertainty_score":0.7509538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05787654303682924,"score_gpt":0.3707795753368984,"score_spread":0.3129030323000692,"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."}}