{"id":"W4416847163","doi":"10.21125/iceri.2025.0878","title":"A SYSTEMS THINKING ANALYSIS OF EDUCATIONAL DIVERSITY AND POLICY STRUCTURES USING ARCHIMATE: A CASE STUDY OF BRITISH COLUMBIA, CANADA","year":2025,"lang":"","type":"article","venue":"ICERI proceedings","topic":"Art Education and Development","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Systems thinking; Public policy; Critical systems thinking; Systems analysis; Policy analysis","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":[0.002312572,0.0003678458,0.0005278393,0.004396845,0.01553096,0.008204341,0.00191164,0.001047767,0.004159456],"category_scores_gemma":[0.005436743,0.0003412365,0.0003865768,0.008199516,0.00534906,0.001720805,0.002592703,0.001711909,0.0001443537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1224308,"about_ca_system_score_gemma":0.1254883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921243,"about_ca_topic_score_gemma":0.9962689,"domain_scores_codex":[0.9985298,0.0004075514,0.00003864358,0.0001229771,0.0003573663,0.0005436434],"domain_scores_gemma":[0.9949168,0.002253811,0.0002038013,0.0001784949,0.00186988,0.0005772588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005390506,0.0009449168,0.3095019,0.000643016,0.0002300018,0.006418525,0.3164518,0.03022182,0.002179368,0.1534328,0.02133522,0.1581016],"study_design_scores_gemma":[0.00007500903,0.0001363307,0.1409489,0.0004792639,0.0001533865,0.0002858233,0.754723,0.02111293,0.0009725074,0.01450532,0.06650177,0.0001058608],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564074,0.0003986566,0.001306605,0.001856575,0.00001325749,0.0001106122,0.0002882176,0.00002770047,0.03959097],"genre_scores_gemma":[0.9899136,0.0003768037,0.002384826,0.000111605,0.000002329417,0.00004397786,0.0001431248,0.00001922592,0.007004478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1224308,"threshold_uncertainty_score":0.8883016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118168204832464,"score_gpt":0.2633970764604699,"score_spread":0.2422153944121453,"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."}}