{"id":"W4236970877","doi":"10.32920/ryerson.14665965.v1","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":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Enthusiasm; Immigration; Teamwork; Multiculturalism; 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":[0.006022976,0.0004100013,0.0003926747,0.002436977,0.0225423,0.01596735,0.001950054,0.001596133,0.00709221],"category_scores_gemma":[0.007949809,0.0003041081,0.0004842099,0.002915668,0.006843823,0.003222239,0.006521301,0.003342465,0.0005997142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09820873,"about_ca_system_score_gemma":0.4585318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9678186,"about_ca_topic_score_gemma":0.9890754,"domain_scores_codex":[0.9953012,0.0009062859,0.00008712688,0.0002229954,0.001309807,0.002172637],"domain_scores_gemma":[0.9856327,0.0006756929,0.0003809963,0.0002251351,0.003348924,0.009736582],"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":[0.0002033155,0.0006060194,0.08424447,0.0009578236,0.00006589285,0.001259291,0.06969532,0.001798492,0.001920622,0.1288794,0.202189,0.5081803],"study_design_scores_gemma":[0.00006645197,0.0001926989,0.1582463,0.003084749,0.0001037972,0.0003905193,0.2677849,0.00313669,0.001514663,0.02905106,0.5362198,0.0002082585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2906879,0.01198995,0.005485601,0.5145164,0.001528458,0.0003687781,0.0004551335,0.0002811459,0.1746867],"genre_scores_gemma":[0.9380607,0.007064745,0.01341539,0.01047604,0.0001496405,0.0001010443,0.0001904783,0.0000587133,0.03048318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09820873,"threshold_uncertainty_score":0.7125576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248226591016859,"score_gpt":0.2393384433844627,"score_spread":0.2168561774742941,"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."}}