{"id":"W2462538769","doi":"10.1057/978-1-137-53001-1_6","title":"Language Ideologies and Twitter in Canada","year":2016,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Linguistics; Politics; Code (set theory); State (computer science); Relation (database); Political science; Code-mixing; Sociology; Media studies; Code-switching; Computer science; Law","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":[0.001156226,0.0003503278,0.0002860882,0.0042274,0.02303663,0.01288473,0.001016599,0.001082762,0.01151988],"category_scores_gemma":[0.002541012,0.0003066644,0.0003259286,0.009400465,0.007368096,0.003408252,0.006678199,0.00179836,0.001131767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08382474,"about_ca_system_score_gemma":0.06288884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9796646,"about_ca_topic_score_gemma":0.9868464,"domain_scores_codex":[0.9975967,0.0002882617,0.00003709036,0.0001808227,0.0008304418,0.001066647],"domain_scores_gemma":[0.9986792,0.0003422295,0.0001331579,0.00004757895,0.0004081418,0.0003897868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002265468,0.00004634863,0.03793205,0.0002908743,0.00003896233,0.00139022,0.4313104,0.0005482157,0.001261555,0.3085003,0.1094261,0.1090284],"study_design_scores_gemma":[0.00001010379,0.000009261597,0.02661798,0.0003666006,0.00001887871,0.0001226163,0.2148551,0.0003986894,0.0003767383,0.006556002,0.7506028,0.00006518787],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3328827,0.009980916,0.0009942787,0.03663016,0.0006960862,0.00004925438,0.002797657,0.0001641057,0.615805],"genre_scores_gemma":[0.9006451,0.006402632,0.0004820669,0.002056963,0.0001175709,0.00004034561,0.001009725,0.0001480984,0.08909735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08382474,"threshold_uncertainty_score":0.6081939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234607988940363,"score_gpt":0.3439211605807176,"score_spread":0.301575080691314,"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."}}