{"id":"W2788223731","doi":"10.22215/etd/2016-11566","title":"Producing “Good” Citizens: A Critical Discourse Analysis of the Ontario Ministry of Education’s Publication, Achieving excellence","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Excellence; Critical discourse analysis; Christian ministry; Sociology; Compromise; Citizenship; Discourse analysis; Higher education; Political science; Public relations; Pedagogy; Public administration; Social science; Law; Linguistics","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":[0.02653902,0.0007133574,0.0008022541,0.005507284,0.02809483,0.01434863,0.002003349,0.003080229,0.001677801],"category_scores_gemma":[0.03808837,0.0005826007,0.0003791351,0.009012947,0.03707732,0.0070711,0.006282833,0.003896295,0.0002006147],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.10539,"about_ca_system_score_gemma":0.08265892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6800845,"about_ca_topic_score_gemma":0.7932454,"domain_scores_codex":[0.9840108,0.008239011,0.0006590719,0.0009867287,0.004684405,0.001420028],"domain_scores_gemma":[0.9492326,0.03768855,0.003097701,0.001261633,0.00669842,0.00202098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000013494,0.000004548247,0.000678076,0.00005451178,0.000001559393,0.0001870994,0.9867987,0.00002220378,0.0002536909,0.00822028,0.001781848,0.001984],"study_design_scores_gemma":[0.00000447064,0.000008696226,0.002617988,0.0002759819,0.000006474355,0.00006787366,0.8968123,0.0001473993,0.0004142362,0.001818394,0.09780221,0.00002406203],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8408044,0.004813106,0.004876834,0.06030983,0.0007934641,0.0003924946,0.0008199336,0.00007297458,0.08711699],"genre_scores_gemma":[0.9804413,0.001575595,0.002123214,0.001578335,0.0001106775,0.0001458169,0.0001650757,0.0001161437,0.01374388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.89461,"threshold_uncertainty_score":0.7646612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183078054101873,"score_gpt":0.3074603640711667,"score_spread":0.2891525586609794,"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."}}