{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004819827,0.0001743908,0.0003253747,0.00008339308,0.001425511,0.0008004825,0.0006354305,0.0006189164,0.0003776563],"category_scores_gemma":[0.0001203415,0.0001798875,0.00009894697,0.0001586473,0.0002107437,0.0008899301,0.00005814039,0.0003522723,0.00001727215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197522,"about_ca_system_score_gemma":0.0004360064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6771717,"about_ca_topic_score_gemma":0.9930266,"domain_scores_codex":[0.9986304,0.0001078584,0.000219521,0.0002943662,0.0003721527,0.0003756979],"domain_scores_gemma":[0.9994425,0.00007894436,0.0002224639,0.00009796891,0.00007191009,0.0000861786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002721387,0.000205871,0.1083959,0.0001799708,0.0001637409,0.00006938984,0.2904958,0.000003964198,0.00000399867,0.1066261,0.09344018,0.400143],"study_design_scores_gemma":[0.0006094221,0.00002304572,0.8763772,0.0001957483,0.0000878931,2.701719e-7,0.05382132,0.00003473411,0.000002767412,0.03227695,0.03569087,0.0008797324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5070556,0.004888644,0.000004948598,0.001142967,0.001930776,0.0004475759,0.000003184869,0.00008871361,0.4844376],"genre_scores_gemma":[0.9174185,0.003243614,0.000002017388,0.0001076439,0.001772478,0.00003050219,0.00007275943,0.00002032609,0.07733212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7679814,"threshold_uncertainty_score":0.9998745,"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."}}