{"id":"W3139237202","doi":"10.36939/cjur/vol29no1/art267","title":"Neighbourhood characteristics and the labour market experience: A qualitative analysis of the second generation Ghanaian-Canadians in the Greater Toronto Area (GTA)","year":2020,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Disadvantaged; Immigration; Qualitative research; Economic growth; Government (linguistics); Demographic economics; Sociology; Political science; Economics; Social science","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":[0.002226985,0.0004125694,0.0005523849,0.001242713,0.01198824,0.002879661,0.001089112,0.0008147532,0.003093981],"category_scores_gemma":[0.002844987,0.0003197098,0.0003119424,0.002616453,0.004424692,0.001114955,0.002566168,0.001204534,0.0001755488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01773196,"about_ca_system_score_gemma":0.02234285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9047738,"about_ca_topic_score_gemma":0.9596688,"domain_scores_codex":[0.9987751,0.0003912449,0.00003683522,0.0001325384,0.0001744017,0.0004899718],"domain_scores_gemma":[0.9982876,0.0005629565,0.0001779723,0.00005007292,0.0003959091,0.0005254085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002147224,0.00001252067,0.02035186,0.00008542651,0.000003816451,0.0008003112,0.9751216,0.0000216114,0.0003299587,0.000380925,0.0005347292,0.002335741],"study_design_scores_gemma":[9.126426e-7,0.000008870112,0.01102292,0.00005988043,0.000002487679,0.00007760781,0.9861794,0.00001404659,0.00003190667,0.00002186406,0.002573508,0.00000652613],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961931,0.0005046019,0.000112967,0.000668233,0.00001927631,0.00005931544,0.0002477984,0.000002095284,0.002192699],"genre_scores_gemma":[0.9968105,0.0006572145,0.0001818836,0.0003244994,0.000007430514,0.00004906741,0.0001020984,0.00000656648,0.001860624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09522617,"threshold_uncertainty_score":0.1915739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08122014079848218,"score_gpt":0.3720784642648072,"score_spread":0.2908583234663251,"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."}}