{"id":"W3043825480","doi":"10.7202/1067313ar","title":"Review of: Shapiro, S., Farrelly, R., & Curry, M. J. (Eds.). (2018). Educating refugee-background students: Critical issues and dynamic contexts. Bristol, United Kingdom: Multilingual Matters. 264pp. ISBN: 978-1-78309-996-2","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Applied Linguistics","topic":"Education and experiences of immigrants and refugees","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Kingdom; Curry; Political science; Media studies; Sociology; Library science; Law; Computer science; Programming language","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":[0.002775943,0.001635886,0.002405225,0.008352437,0.001014295,0.004421786,0.003065248,0.002891504,0.02799122],"category_scores_gemma":[0.01760912,0.0006291791,0.0009108629,0.01127941,0.001663209,0.00539887,0.002544266,0.003853169,0.02088018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790172,"about_ca_system_score_gemma":0.008279147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00677046,"about_ca_topic_score_gemma":0.01035007,"domain_scores_codex":[0.9973835,0.0003945789,0.0005154142,0.0004038081,0.001154464,0.0001481854],"domain_scores_gemma":[0.9872662,0.003928783,0.001313166,0.0002970107,0.005973442,0.001221285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000243792,0.00001076498,0.0001801034,0.01070774,0.00004406857,0.00008298781,0.0001975088,0.00005756154,0.00008992362,0.001170462,0.7930929,0.1943416],"study_design_scores_gemma":[0.000004658304,0.00000736562,0.0004175812,0.006259052,0.00003476733,0.0002031361,0.0001382811,0.0000113351,0.00002934806,0.000336867,0.9925455,0.00001209928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007958642,0.9548696,0.0002468567,0.02121353,0.01648105,0.0000261953,0.0003794506,0.00003903435,0.006664719],"genre_scores_gemma":[0.0008751462,0.9771826,0.0002868772,0.007804256,0.006603919,0.0000387233,0.00055648,0.00002937645,0.006622682],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02799122,"threshold_uncertainty_score":0.09363991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307884725645946,"score_gpt":0.3874025267007767,"score_spread":0.3566140541361821,"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."}}