{"id":"W4400382866","doi":"10.29173/spectrum227","title":"Understanding Political Integration Among Syrian Refugees in Calgary","year":2024,"lang":"en","type":"article","venue":"Spectrum","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University; University of Calgary","funders":"","keywords":"Refugee; Politics; Vitality; Social integration; Social capital; Syrian refugees; Immigration; Political science; Thematic analysis; Capital (architecture); Sociology; Development economics; Qualitative research; Social science; Economics; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186126,0.0003083254,0.0003458714,0.001454527,0.009533105,0.003250247,0.0005636466,0.0005279952,0.002009698],"category_scores_gemma":[0.001393594,0.0001901519,0.0001610292,0.001561127,0.004926712,0.001057198,0.003241251,0.00113161,0.0001058058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0153678,"about_ca_system_score_gemma":0.01752598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8391173,"about_ca_topic_score_gemma":0.945649,"domain_scores_codex":[0.9992148,0.0001858219,0.00002385696,0.00005178876,0.0001034283,0.0004203586],"domain_scores_gemma":[0.9993593,0.0001639167,0.0001180758,0.00001629328,0.0001146768,0.0002276706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003117433,0.0000374581,0.1231969,0.00006176574,0.00001038121,0.0008402252,0.8624938,0.00005318491,0.001051834,0.001358335,0.0005833064,0.01028165],"study_design_scores_gemma":[0.000001109222,0.0000100847,0.06139178,0.00003391624,0.000002681902,0.00003440333,0.9364738,0.00002097137,0.0000414191,0.0000499145,0.001935399,0.00000454336],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973783,0.0001947882,0.00001861656,0.0003313354,0.000004171207,0.00001039733,0.00001809676,6.448523e-7,0.002043542],"genre_scores_gemma":[0.9980698,0.0004795056,0.00005740381,0.0001469421,0.000002818205,0.00001069667,0.0000346381,0.000001082565,0.001197066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608827,"threshold_uncertainty_score":0.3236603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06314373483292786,"score_gpt":0.3489912827534695,"score_spread":0.2858475479205416,"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."}}