{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238996,0.00006393065,0.00008736373,0.0001240742,0.0001461764,0.0001274235,0.00008315762,0.0001121894,0.0001892697],"category_scores_gemma":[0.0002188731,0.00006199678,0.00004303084,0.0003368877,0.0002715374,0.0001534576,0.00001259042,0.0002133598,0.00005884093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009276803,"about_ca_system_score_gemma":0.0002161285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009402792,"about_ca_topic_score_gemma":0.02853193,"domain_scores_codex":[0.9989648,0.0001154935,0.0001226675,0.0001365131,0.0002104582,0.0004500214],"domain_scores_gemma":[0.9995703,0.0002160018,0.000009925527,0.0000589902,0.000005777227,0.0001390326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001379243,0.000006434821,0.01225011,0.000006064657,0.000003614869,0.00002794288,0.01017753,8.466358e-8,0.00002091425,0.9769199,0.0003812482,0.0002047211],"study_design_scores_gemma":[0.00009204402,0.00003041435,0.00704395,0.0001473045,0.0000132196,9.981978e-7,0.0522088,0.0002353813,0.0004965188,0.9228332,0.01673005,0.00016811],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5762024,0.0002431729,0.001718517,0.02376198,0.003657193,0.0002538979,0.000005993313,0.0003215947,0.3938352],"genre_scores_gemma":[0.9979889,0.00001622431,0.00003397446,0.0001293444,0.0009907759,0.000006167411,0.000003610251,0.000009626116,0.0008213567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4217865,"threshold_uncertainty_score":0.9971937,"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."}}