{"id":"W1781129675","doi":"","title":"Multiliteracies and Equity: How Do Canadian Schools Measure up?.","year":2006,"lang":"en","type":"article","venue":"Education Canada","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Measure (data warehouse); Political science; Computer science","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":[0.005401372,0.0004551926,0.0008253428,0.009809353,0.01048218,0.008114551,0.00187419,0.001336022,0.006781133],"category_scores_gemma":[0.02441576,0.0002967165,0.0005095699,0.02175253,0.005816768,0.004552111,0.004778078,0.002680912,0.0003166799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08728319,"about_ca_system_score_gemma":0.1443391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925978,"about_ca_topic_score_gemma":0.9965509,"domain_scores_codex":[0.9908982,0.000797944,0.0002407842,0.0005108443,0.004838561,0.002713748],"domain_scores_gemma":[0.9795775,0.002019125,0.002296471,0.0004988239,0.01060734,0.005000673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008854611,0.0001232442,0.6498755,0.0003057897,0.0001929107,0.0001226793,0.03040824,0.0006572519,0.0001086628,0.09211389,0.07974451,0.1462589],"study_design_scores_gemma":[0.0000181112,0.00002678807,0.9049662,0.0006408599,0.0001288819,0.00002915898,0.03064161,0.0003737992,0.0002263606,0.008065275,0.05481171,0.00007122451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5151581,0.03213577,0.001721278,0.1932859,0.001036075,0.0002605426,0.01560152,0.0001295536,0.2406713],"genre_scores_gemma":[0.9901966,0.0020358,0.0003685863,0.00247738,0.00006891727,0.00004216518,0.0006717028,0.00001936359,0.004119554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08728319,"threshold_uncertainty_score":0.6332868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803104829716624,"score_gpt":0.2266137825304253,"score_spread":0.2085827342332591,"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."}}