{"id":"W2053254662","doi":"10.1111/1468-2427.00331","title":"‘You're Good with your Hands, Why Don't You Become an Auto Mechanic’: Neighborhood Context, Institutions and Career Development","year":2001,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sociology; Context (archaeology); Acculturation; Humanities; Political science; Gender studies; Geography; Anthropology; Ethnic group","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005457542,0.00009577371,0.00015121,0.0004200077,0.002986943,0.00150022,0.0003041934,0.0002447841,0.001705377],"category_scores_gemma":[0.0009996425,0.0001061205,0.00009118087,0.0005352097,0.001597154,0.0006531753,0.001060133,0.0003064884,0.0001223558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007813,"about_ca_system_score_gemma":0.001107095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05562621,"about_ca_topic_score_gemma":0.1882436,"domain_scores_codex":[0.9995509,0.0002270159,0.00001523129,0.00004634939,0.00003401734,0.0001264968],"domain_scores_gemma":[0.9995641,0.00009733243,0.0001223991,0.0000230457,0.00006274744,0.0001303626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005506848,0.0001261774,0.7871755,0.00006407934,0.00002139314,0.0007095995,0.1861614,0.00008899803,0.0005659414,0.002166793,0.0007256119,0.0221394],"study_design_scores_gemma":[0.000002309744,0.0000652098,0.6247098,0.00007195791,0.00001066927,0.0002015338,0.3695192,0.00004979793,0.0001380731,0.0001495001,0.005076058,0.000005881752],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986818,0.0002329757,0.00002104086,0.0001298331,0.000002701895,0.000001058015,0.000008779992,5.765045e-7,0.0009211893],"genre_scores_gemma":[0.9994218,0.0001778404,0.00002562391,0.00002135087,0.000001571467,0.000002216104,0.00000741836,6.56869e-7,0.000341569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05562621,"threshold_uncertainty_score":0.1106049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2153622983062472,"score_gpt":0.4035565690380176,"score_spread":0.1881942707317704,"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."}}