{"id":"W2908897586","doi":"10.24908/iqurcp.9096","title":"10. Women and Poverty: The Feminization of Urban Poverty in Canada","year":2016,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Immigration; Social exclusion; Government (linguistics); Culture of poverty; Inequality; Face (sociological concept); Development economics; Feminization (sociology); Demographic economics; Political science; Basic needs; Sociology; Economic growth; Gender studies; 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":[0.001363207,0.000346403,0.0003359122,0.001288556,0.04472381,0.007942524,0.001257224,0.002028574,0.007083666],"category_scores_gemma":[0.002166002,0.0002306048,0.0003026463,0.002610881,0.01305529,0.001750535,0.004484572,0.00279802,0.0002862719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1355801,"about_ca_system_score_gemma":0.1612459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958166,"about_ca_topic_score_gemma":0.9984185,"domain_scores_codex":[0.9974051,0.0004462102,0.00003190188,0.0001488617,0.0005972496,0.001370686],"domain_scores_gemma":[0.9982023,0.0003152417,0.0001200619,0.00003850776,0.000569037,0.0007547889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008421112,0.00005635418,0.0269972,0.0002328406,0.00001672897,0.001771923,0.6376864,0.0004068009,0.0008618347,0.1944912,0.09244294,0.04495158],"study_design_scores_gemma":[0.000007397002,0.00002020259,0.02552663,0.0002994055,0.0000142127,0.0003061417,0.485288,0.0002049395,0.0003587946,0.004544556,0.4833691,0.00006055042],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4365758,0.01298144,0.001123883,0.1670025,0.001087403,0.0001048335,0.0007689261,0.00006064816,0.3802946],"genre_scores_gemma":[0.9129767,0.004145402,0.0004427737,0.007998222,0.00008160698,0.00003193929,0.00007054868,0.00004202591,0.07421063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1355801,"threshold_uncertainty_score":0.983707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06885206574497157,"score_gpt":0.3403447452141931,"score_spread":0.2714926794692215,"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."}}