{"id":"W7161815548","doi":"10.82308/40523","title":"Social networks, identity, and access: Immigrants in Québec","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social capital; Social network (sociolinguistics); Immigration; Interpersonal ties; Citizenship; Survey data collection; Social engagement; Social network analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0009161177,0.0001931216,0.0002289284,0.001204932,0.00861782,0.003077622,0.0006922418,0.0004852277,0.005105313],"category_scores_gemma":[0.002259286,0.00010631,0.0001936588,0.002332369,0.001355974,0.001074582,0.001691092,0.0008323353,0.0002587065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02930347,"about_ca_system_score_gemma":0.02318431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930935,"about_ca_topic_score_gemma":0.9965451,"domain_scores_codex":[0.9995116,0.0001020789,0.00001269731,0.00005852252,0.0001058734,0.000209071],"domain_scores_gemma":[0.9985361,0.0001833141,0.000189822,0.00003668724,0.0005192313,0.0005348544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001805839,0.0004169767,0.740011,0.0001610811,0.0000745876,0.0007532276,0.1696783,0.0004396338,0.0005613758,0.006842552,0.01224761,0.06863309],"study_design_scores_gemma":[0.0000150515,0.00005341148,0.8127628,0.00026978,0.00003492786,0.0001023222,0.1676463,0.0005755548,0.0001134788,0.0004236899,0.01797016,0.00003241442],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836675,0.0006123398,0.00008436153,0.00202644,0.00002327011,0.00003152961,0.0004997595,0.00000438335,0.01305057],"genre_scores_gemma":[0.9931745,0.0006540728,0.0001012561,0.0003636562,0.000008177357,0.00002249609,0.0002793705,0.000003338233,0.00539312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02930347,"threshold_uncertainty_score":0.2126125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745816761768756,"score_gpt":0.4074140395468718,"score_spread":0.3599558719291842,"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."}}