{"id":"W3093926502","doi":"10.46328/ijres.v6i4.1225","title":"Multiliteracies and Multiple Literacies within Ontario (Canada) Health and Physical Education","year":2020,"lang":"en","type":"article","venue":"International Journal of Research in Education and Science","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Summative assessment; Literacy; Curriculum; Pedagogy; Physical education; Government (linguistics); Mathematics education; Sociology; Qualitative research; Psychology; Formative assessment; Social science","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":[0.00383349,0.0001709251,0.0003578318,0.001544526,0.01336788,0.005487705,0.0008692722,0.0005118301,0.003663839],"category_scores_gemma":[0.009732151,0.0002573823,0.0002360242,0.002281549,0.01114179,0.002262015,0.005339962,0.001371276,0.0001042611],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06448033,"about_ca_system_score_gemma":0.1157341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9439683,"about_ca_topic_score_gemma":0.9785317,"domain_scores_codex":[0.9958269,0.001128238,0.0002009324,0.0002976618,0.001223234,0.001323018],"domain_scores_gemma":[0.991269,0.003369565,0.001237628,0.0002357237,0.001756698,0.002131474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002463361,0.0000307353,0.04929191,0.0001957998,0.00000616225,0.0003924716,0.9247622,0.00005536296,0.0003166092,0.00953746,0.001405497,0.01398112],"study_design_scores_gemma":[0.00000585028,0.00002974734,0.08223128,0.0003488676,0.00001141201,0.0001043074,0.8855639,0.0001115007,0.0001796055,0.001489462,0.02989758,0.0000265301],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640515,0.0005279173,0.000405485,0.007248699,0.00002532904,0.000100941,0.0001978254,0.000008366837,0.02743382],"genre_scores_gemma":[0.9969249,0.0002591104,0.0002542621,0.0002853176,0.00000332546,0.00002956757,0.00002822999,0.000004366389,0.002210863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9355197,"threshold_uncertainty_score":0.4678397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08869419037703934,"score_gpt":0.4027495280334683,"score_spread":0.3140553376564289,"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."}}