{"id":"W1887304819","doi":"10.1080/2005615x.2010.11102869","title":"The Canadian Multicultural Education Policy Web: Lessons to Learn, Pitfalls to Avoid","year":2010,"lang":"en","type":"article","venue":"Multicultural Education Review","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiculturalism; Multicultural education; Diversity (politics); Cohesion (chemistry); Meaning (existential); Social justice; Sociology; Cultural diversity; Economic Justice; Political science; Public relations; Pedagogy; Social science; Epistemology; 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":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009269552,0.0003754774,0.000341183,0.0001806213,0.003395368,0.0008534964,0.00100254,0.0002038736,0.0004779635],"category_scores_gemma":[0.01092574,0.0002399896,0.0002100632,0.001644261,0.0002410735,0.0004308502,0.00006931654,0.0005439658,0.003342215],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314411,"about_ca_system_score_gemma":0.008684641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5096034,"about_ca_topic_score_gemma":0.8776789,"domain_scores_codex":[0.9968337,0.0003867854,0.0006130257,0.0005765636,0.0006413982,0.0009485129],"domain_scores_gemma":[0.9940868,0.0001478466,0.0002159877,0.0006097404,0.002705505,0.00223414],"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":[0.000005390946,0.0002987208,0.0001114768,0.0001621067,0.0000275061,3.192375e-7,0.06783473,0.000005796154,0.002492212,0.03708993,0.7350957,0.1568761],"study_design_scores_gemma":[0.00008934131,0.00001333799,0.009489231,0.0005137212,0.00004312459,0.000009316833,0.01926481,0.000003361161,0.00004826253,0.00002245663,0.9700811,0.0004219509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1424712,0.005336881,3.382274e-7,0.8106979,0.01024403,0.00451878,0.00003192162,0.0001821937,0.02651674],"genre_scores_gemma":[0.8509636,0.007578305,0.002922877,0.07008546,0.002745057,0.001377299,0.000166932,0.00003319595,0.0641273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7406124,"threshold_uncertainty_score":0.9979021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313724639706827,"score_gpt":0.4189960661685176,"score_spread":0.3876236021978349,"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."}}