{"id":"W4385522260","doi":"10.1515/9780228002758-011","title":"Refugee Sponsorship in the Age of Social Media: Canada and the Syrian Refugee Program","year":2020,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Media, Religion, Digital Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Syrian refugees; Political science; Social media; Law","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":[0.002085379,0.0003522621,0.0004374147,0.001640346,0.02803722,0.01341056,0.001915385,0.003047707,0.02028603],"category_scores_gemma":[0.006214439,0.0003549799,0.0002859933,0.003481966,0.006263851,0.002630075,0.007231292,0.004689459,0.0012396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06193694,"about_ca_system_score_gemma":0.2377825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809507,"about_ca_topic_score_gemma":0.9952129,"domain_scores_codex":[0.9969157,0.0003769208,0.00003693156,0.00008005309,0.0005431543,0.002047254],"domain_scores_gemma":[0.9887699,0.0008463588,0.0002767203,0.00009634251,0.001665252,0.008345431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002652501,0.0003055017,0.02705606,0.0002831379,0.00002946543,0.002054707,0.1407847,0.000304526,0.0004124798,0.115378,0.5622706,0.1508556],"study_design_scores_gemma":[0.0000517394,0.0000583414,0.03900957,0.0006251978,0.00001795545,0.0002248774,0.3002498,0.0001871162,0.0001387328,0.001924765,0.6574545,0.00005736054],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.298158,0.0297587,0.0002156095,0.2588156,0.003042384,0.0002017759,0.001039969,0.00008931196,0.4086786],"genre_scores_gemma":[0.7386255,0.01907248,0.0002970067,0.01084106,0.0003317536,0.0001026457,0.0003378645,0.0001036432,0.230288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06193694,"threshold_uncertainty_score":0.4493861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020178837776328,"score_gpt":0.2083565727167805,"score_spread":0.1781547843390173,"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."}}