{"id":"W4417260717","doi":"10.5539/jel.v15n3p35","title":"Towards Adaptive Resilience: Generative AI Integration in English Departments in Canada and Beyond","year":2025,"lang":"","type":"article","venue":"Journal of Education and Learning","topic":"Educational Theory and Curriculum Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Identity (music); Resistance (ecology); Diversity (politics); Technology integration; Discourse analysis; Multidisciplinary approach; Policy analysis; Dynamics (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004273225,0.0002288523,0.0002093207,0.001589081,0.02021796,0.01050901,0.002038069,0.00111985,0.00367235],"category_scores_gemma":[0.01128591,0.0003122274,0.000294124,0.002215269,0.01344549,0.004234775,0.009167955,0.002612927,0.0002812007],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1090101,"about_ca_system_score_gemma":0.1646896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9144308,"about_ca_topic_score_gemma":0.9585729,"domain_scores_codex":[0.9937966,0.001382303,0.0001310948,0.0005703598,0.0011256,0.002994066],"domain_scores_gemma":[0.9896304,0.002795853,0.0008567587,0.0006044041,0.002053924,0.004058693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001656331,0.0002597985,0.08963879,0.0001515,0.00003463472,0.003972459,0.6112813,0.003523321,0.003829531,0.1927942,0.007369614,0.08697917],"study_design_scores_gemma":[0.00001991492,0.00008209518,0.05360661,0.0002161918,0.00003023214,0.0002787428,0.7348896,0.002837237,0.001930682,0.01879695,0.1871981,0.0001136731],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345672,0.00025137,0.003002381,0.008936282,0.00003282729,0.000065997,0.00004540343,0.00007592971,0.0530225],"genre_scores_gemma":[0.9907839,0.000156839,0.0009026981,0.0005540311,0.0000038921,0.00001859633,0.00002266585,0.00002144814,0.007535775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.979782,"threshold_uncertainty_score":0.7909276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068113016520726,"score_gpt":0.3201948351728984,"score_spread":0.3095137050076911,"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."}}