{"id":"W2065074411","doi":"10.1007/s12134-003-1025-z","title":"Social capital and refugee resettlement: The social networks of refugees in Canada","year":2003,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":205,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Science and Engineering Research Board","keywords":"Refugee; Social capital; Economic growth; Function (biology); Social network (sociolinguistics); Political science; Sociology; Demographic economics; Economics; Social media; 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":[],"consensus_categories":[],"category_scores_codex":[0.003223623,0.0002087622,0.0002881555,0.0004101548,0.0003172021,0.0003004702,0.0003088722,0.0001720419,0.0001872758],"category_scores_gemma":[0.002013344,0.000178122,0.00011221,0.0003750539,0.0002611322,0.0008324492,0.00002401204,0.0005873616,6.267069e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162039,"about_ca_system_score_gemma":0.001435943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09875026,"about_ca_topic_score_gemma":0.920554,"domain_scores_codex":[0.9964123,0.001319153,0.001135656,0.0002140724,0.0006975548,0.0002212179],"domain_scores_gemma":[0.9968189,0.0007418063,0.001033796,0.00008854934,0.00121901,0.00009796441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001604845,0.0001484512,0.03285766,0.00001217778,0.00008708314,0.000006878542,0.04871672,0.001303868,0.002339481,0.9053915,0.005818122,0.003157593],"study_design_scores_gemma":[0.004049311,0.0004494989,0.3193151,0.000617808,0.0001379627,0.0003891285,0.1228398,0.1062074,0.003229685,0.02489323,0.4168851,0.0009860205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388306,0.0002892721,0.02719631,0.02675828,0.0005366358,0.0002924271,0.00004390196,0.00001439722,0.006038199],"genre_scores_gemma":[0.9946196,0.001677412,0.001106306,0.001071868,0.0003702694,0.00003168678,0.00007347202,0.00001745521,0.001031947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8804982,"threshold_uncertainty_score":0.9072512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188050683981347,"score_gpt":0.3105454825739273,"score_spread":0.2986649757341139,"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."}}