{"id":"W2010619407","doi":"10.1353/ces.2014.0002","title":"Discrimination at Work: Comparing the Experiences of Foreign-trained and Locally-trained Engineers in Canada","year":2014,"lang":"fr","type":"article","venue":"Canadian ethnic studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Race (biology); Work (physics); Field (mathematics); Immigration; Perception; Training (meteorology); Foreign language; Engineering education; Psychology; Engineering; Mathematics education; Engineering management; Sociology; Political science; Law; Mathematics; Mechanical engineering; Gender studies; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001896076,0.0005070009,0.0007160287,0.002083674,0.01506124,0.005606348,0.00147669,0.001227951,0.003482919],"category_scores_gemma":[0.004964082,0.0004208646,0.0003879664,0.002814216,0.006521801,0.001263506,0.004814608,0.002111616,0.0004727447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02279597,"about_ca_system_score_gemma":0.03590118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9467919,"about_ca_topic_score_gemma":0.9800419,"domain_scores_codex":[0.9959726,0.000473424,0.0001188438,0.0003104124,0.001071843,0.002052792],"domain_scores_gemma":[0.9948088,0.0007537367,0.0005758246,0.0001058774,0.001648468,0.002107136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001258098,0.0001137375,0.1430865,0.00009247236,0.00002217631,0.000803203,0.8398197,0.00006827906,0.0009965256,0.0004709162,0.001421916,0.01297876],"study_design_scores_gemma":[0.000003562391,0.00004502423,0.07307814,0.00006327932,0.000006808074,0.0001033841,0.9214819,0.00004748496,0.0001433291,0.0000456294,0.004947369,0.00003412081],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962602,0.0002376999,0.00004911909,0.0003377284,0.00002472595,0.00001125763,0.00005209096,0.000002172795,0.003025176],"genre_scores_gemma":[0.9954541,0.0003790266,0.00004277166,0.0002406185,0.000006229863,0.000009806297,0.00007544979,0.000006476736,0.003785666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05320805,"threshold_uncertainty_score":0.1653971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07127564329179104,"score_gpt":0.3098093012655809,"score_spread":0.2385336579737898,"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."}}