{"id":"W4250781592","doi":"10.32920/ryerson.14652825.v1","title":"Immigrant inclusion in schools : can teacher training make a difference?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Education, Leadership, and Health Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Inclusion (mineral); Immigration; Training (meteorology); Inclusion–exclusion principle; Pedagogy; Social exclusion; Psychology; Mathematics education; Sociology; Political science; Social psychology; Law; Geography; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004352258,0.0002426741,0.0005132904,0.001268677,0.009504558,0.006069865,0.0008557816,0.002534898,0.006151464],"category_scores_gemma":[0.01268427,0.0001867826,0.0003703924,0.001182629,0.006980247,0.004230059,0.005109619,0.002423912,0.0004572915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006765069,"about_ca_system_score_gemma":0.01143663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07433303,"about_ca_topic_score_gemma":0.1343863,"domain_scores_codex":[0.9955373,0.002312685,0.0001098633,0.0001683238,0.0005431388,0.001328648],"domain_scores_gemma":[0.9940328,0.00172076,0.0008472746,0.0001459405,0.0008207049,0.002432535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002481,0.0006760053,0.180114,0.00086415,0.00006026511,0.002170836,0.5820922,0.0001213011,0.0003932816,0.05099371,0.0225447,0.1597215],"study_design_scores_gemma":[0.00005278839,0.0002351721,0.1109642,0.001733759,0.00007665248,0.0003988716,0.79757,0.0001043335,0.0004035861,0.009064081,0.07935293,0.00004366714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7429434,0.009402177,0.0002572061,0.1757143,0.0008538463,0.00005561491,0.00006013182,0.00002087734,0.07069244],"genre_scores_gemma":[0.9865742,0.003260326,0.0001525963,0.004809398,0.0001304039,0.00002155249,0.00001952229,0.000007134461,0.00502484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07433303,"threshold_uncertainty_score":0.1478007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.212187913326242,"score_gpt":0.4565050025920158,"score_spread":0.2443170892657739,"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."}}