{"id":"W2417453485","doi":"10.1007/978-94-6300-208-0_18","title":"Further Unpacking Multiculturalism in the Classroom","year":2015,"lang":"en","type":"book-chapter","venue":"SensePublishers eBooks","topic":"Religious Education and Schools","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Multiculturalism; Multicultural education; Certification; Unpacking; Pedagogy; Legislature; Subject (documents); Teacher education; Plan (archaeology); Sociology; Political science; Mathematics education; Psychology; Library science; Computer science; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001752114,0.0003054959,0.0003110808,0.0001957403,0.0003023729,0.001037538,0.0007089986,0.0005857509,0.0004130509],"category_scores_gemma":[0.0003105519,0.0002159676,0.0001864031,0.00005490084,0.000408067,0.00008821997,0.0000444846,0.0008532261,0.000261194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903711,"about_ca_system_score_gemma":0.0006961799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300162,"about_ca_topic_score_gemma":0.003024917,"domain_scores_codex":[0.9974606,0.000283309,0.0003858568,0.000398252,0.001014383,0.0004576156],"domain_scores_gemma":[0.9984755,0.0002073923,0.0002424805,0.0004831262,0.0003808624,0.0002106171],"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":[0.000005441064,0.000003338092,0.00001515634,0.000004462481,0.00002204908,0.00002300682,0.08902447,0.000001305031,0.000001622086,0.2531087,0.6523207,0.0054697],"study_design_scores_gemma":[0.0002073048,0.000009767929,0.00001698641,0.00006872242,0.00002185901,0.000004580226,0.01936385,0.000001433878,4.38231e-7,0.09615492,0.8838605,0.0002895887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005593632,0.0003543799,9.1804e-7,0.00652097,0.001132053,0.0006544917,0.000006882532,0.0001026206,0.9906683],"genre_scores_gemma":[0.05500193,0.00004259275,0.0000713172,0.002120908,0.001090848,0.00001838525,0.00002884448,0.0000480042,0.9415772],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2315398,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07854921813772667,"score_gpt":0.3286849447252118,"score_spread":0.2501357265874851,"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."}}