{"id":"W2552025937","doi":"","title":"Networks, Boundaries and Social Capital: The Historical Geography of Toronto's Anglo Elites and Italian Entrepreneurs, 1900-1935","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social capital; Economic geography; Social geography; Historical geography; Geography; Human geography; Capital (architecture); Urban geography; Social science; Sociology; Economy; Political science; Economics; Archaeology; Urban planning; Engineering","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":[0.0007952205,0.0003196994,0.0003587093,0.003036461,0.009605841,0.004907489,0.0008041242,0.0006676628,0.004132107],"category_scores_gemma":[0.001947261,0.0003788246,0.0001619181,0.005259313,0.009872642,0.002202322,0.004314469,0.001020838,0.0002547309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07082456,"about_ca_system_score_gemma":0.01155786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9015896,"about_ca_topic_score_gemma":0.956637,"domain_scores_codex":[0.9991869,0.0001430868,0.00002446409,0.0001164519,0.0001465434,0.0003825827],"domain_scores_gemma":[0.9986608,0.0002405461,0.0003176426,0.00005914397,0.0001583647,0.0005634847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001193931,0.00003296712,0.0771026,0.0002158533,0.0000248052,0.001143877,0.8394656,0.0002319391,0.0004604638,0.05193077,0.004955681,0.02431613],"study_design_scores_gemma":[0.00001090489,0.0000592752,0.5029418,0.0003309362,0.00004389506,0.0003386938,0.3384761,0.0002318888,0.0002397682,0.001809894,0.155475,0.0000419134],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9479379,0.004082702,0.0002305349,0.003187655,0.00004563427,0.00003253685,0.0004790905,0.00001110341,0.04399276],"genre_scores_gemma":[0.992189,0.001575197,0.0000820291,0.00006320296,0.00002106316,0.00001559681,0.00008462113,0.000006387638,0.005962835],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09841037,"threshold_uncertainty_score":0.5138706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001984185098009226,"score_gpt":0.1482181288014167,"score_spread":0.1462339437034074,"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."}}