{"id":"W2122932048","doi":"10.3138/cpp.34.2.237","title":"Neighbourhood Effects in Canada:A Critique","year":2008,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neighbourhood (mathematics); Poverty; Perspective (graphical); Multilevel model; Demographic economics; Sociology; Political science; Psychology; Economic growth; Geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01391872,0.001024717,0.002528512,0.00753927,0.01339938,0.00875073,0.008232803,0.006082205,0.008489838],"category_scores_gemma":[0.04754929,0.0007855727,0.002343693,0.01224641,0.01526134,0.004208572,0.004485599,0.009448836,0.0008111217],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.167403,"about_ca_system_score_gemma":0.2303014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970521,"about_ca_topic_score_gemma":0.9960852,"domain_scores_codex":[0.9791334,0.002553732,0.001213338,0.003024895,0.01231211,0.001762642],"domain_scores_gemma":[0.9595988,0.01501585,0.001423104,0.001538715,0.02052473,0.001898923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001250702,0.00003408025,0.01283161,0.001268057,0.0002405799,0.0003930836,0.004733245,0.00275104,0.00008716246,0.5239241,0.3343349,0.1192771],"study_design_scores_gemma":[0.0001218306,0.00003241336,0.04178701,0.005228588,0.0005079968,0.0003742413,0.00674569,0.003179868,0.000356157,0.1138519,0.8275891,0.0002252187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009298129,0.1220808,0.002896901,0.7532897,0.005317105,0.00006835702,0.002436258,0.00015579,0.104457],"genre_scores_gemma":[0.4737356,0.161501,0.008116563,0.3006207,0.01103258,0.0002352978,0.0009577394,0.00054482,0.0432557],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.167403,"threshold_uncertainty_score":0.9656945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238900368889461,"score_gpt":0.2671580837720574,"score_spread":0.2432680468831112,"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."}}