{"id":"W2923282561","doi":"","title":"How Armenian Syrian Millennial Refugees use Social Media to Facilitate Integration into Canadian Society","year":2018,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Armenian; Social media; Refugee; Variety (cybernetics); Meaning (existential); Negotiation; Semiotics; Social exclusion; Psychology; Sociology; Social psychology; Public relations; Political science; Linguistics; Social science; Computer science","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":[0.001273655,0.000369349,0.0002188413,0.00153673,0.005551989,0.007460668,0.0005315918,0.0008236702,0.003964887],"category_scores_gemma":[0.002607596,0.0002590523,0.0001805874,0.001703108,0.005313002,0.004313096,0.005488317,0.0007384332,0.0004009922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003475519,"about_ca_system_score_gemma":0.004658527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1006609,"about_ca_topic_score_gemma":0.2048652,"domain_scores_codex":[0.9989717,0.000450865,0.00004786635,0.00007225426,0.0001197226,0.0003376619],"domain_scores_gemma":[0.9993752,0.0001939892,0.0001358212,0.00003705443,0.00008571822,0.0001722513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004127924,0.00004756121,0.03387041,0.0001056914,0.0000163014,0.001479582,0.9289434,0.00006191065,0.001179264,0.004871519,0.001395604,0.02798742],"study_design_scores_gemma":[0.000003610018,0.00002486244,0.01933103,0.0001542491,0.00001027983,0.0003003111,0.9602917,0.0000518589,0.000151932,0.0003368811,0.01932849,0.00001466253],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824891,0.0005779316,0.0001646378,0.001189477,0.0000207363,0.00001342279,0.00003028593,0.000006817906,0.01550768],"genre_scores_gemma":[0.9967132,0.0007631922,0.0001832163,0.0001708794,0.000005439867,0.00001087227,0.00002177452,0.000005431568,0.002126025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8993391,"threshold_uncertainty_score":0.2001501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261413929623473,"score_gpt":0.1769084645589218,"score_spread":0.1507670715965745,"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."}}