{"id":"W1974803649","doi":"10.1177/0002764211407840","title":"Governing Immigrant City","year":2011,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Multiculturalism; Politics; Equity (law); Ethnic group; Political science; Sociology; Inclusion (mineral); Diversity (politics); Public administration; Racism; Economic growth; Gender studies; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004897887,0.0001046149,0.0001396024,0.00006964958,0.0008022924,0.0001185927,0.0002946383,0.00003669903,0.001777047],"category_scores_gemma":[0.00005208154,0.00009553549,0.00008672677,0.0006674168,0.001152291,0.0004195669,0.00002912067,0.0001026015,0.0002142281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504684,"about_ca_system_score_gemma":0.0001244919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2161456,"about_ca_topic_score_gemma":0.155845,"domain_scores_codex":[0.9985254,0.0001220449,0.0001930333,0.0002883394,0.0005065624,0.0003646436],"domain_scores_gemma":[0.9993237,0.00001218125,0.0001718616,0.0001859803,0.0001233129,0.0001829724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003598121,0.0006377824,0.6319793,0.000002907622,0.00001072525,0.00001945814,0.1507392,4.534643e-7,0.003640584,0.03288309,0.01624424,0.1638063],"study_design_scores_gemma":[0.0002197241,0.0003494543,0.5430422,0.00001871812,0.00005566444,0.000003203406,0.02998806,0.00002585931,0.001349489,0.0003532856,0.4240893,0.0005051114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645299,0.00002526158,0.0007311984,0.0000773709,0.0005335688,0.000147889,0.00001936855,0.0001073471,0.03382805],"genre_scores_gemma":[0.9924781,0.0000268227,0.001445562,0.0001041418,0.0001161475,0.00001475375,0.00001673275,0.000007929798,0.005789845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.407845,"threshold_uncertainty_score":0.9991354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05591126990466322,"score_gpt":0.3422863666782545,"score_spread":0.2863750967735912,"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."}}