{"id":"W7162134523","doi":"10.82308/3647","title":"Exploring the labour market integration of skilled Black African immigrants in Montreal","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racism; Immigration; Agency (philosophy); Government (linguistics); Settlement (finance); Employment discrimination; Face (sociological concept); Intersectionality; Psychological resilience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001060947,0.0001370378,0.0002899324,0.0002883231,0.0003091086,0.00007201104,0.0002948006,0.0001335609,0.0004448821],"category_scores_gemma":[0.0003899194,0.0001045674,0.00009359186,0.0007063196,0.00005543457,0.0002512739,0.00001054005,0.0002225997,0.000009226404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428767,"about_ca_system_score_gemma":0.000501041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5220054,"about_ca_topic_score_gemma":0.9891567,"domain_scores_codex":[0.9983664,0.0002939418,0.0004595127,0.0002160331,0.0004347721,0.0002294091],"domain_scores_gemma":[0.9991056,0.0001895085,0.0002293014,0.0001756313,0.000253133,0.00004684485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003752396,0.0002745195,0.01984072,0.0006438,0.00006972514,0.000002448029,0.8074794,0.00001351278,0.0000637866,0.1135745,0.02067124,0.03699108],"study_design_scores_gemma":[0.0001786545,0.00001610784,0.7350457,0.0002065314,0.0000261474,1.871449e-8,0.2583672,0.00005820961,0.00006661464,0.004944906,0.0009726144,0.0001173572],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7371973,0.00008773407,0.00001362381,0.0004292617,0.0006437723,0.0004648619,0.0000111345,0.00002194742,0.2611303],"genre_scores_gemma":[0.8085821,0.005731309,0.00002342762,0.00003445532,0.0001392004,0.00006659369,0.00008756673,0.000006624125,0.1853288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.715205,"threshold_uncertainty_score":0.4871148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157932016995641,"score_gpt":0.3268124850416765,"score_spread":0.2852331648717201,"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."}}