{"id":"W4414013075","doi":"10.1080/2331186x.2025.2548352","title":"Heutagogy for dynamic learning: lessons learned from an Innovation Fellowship","year":2025,"lang":"en","type":"article","venue":"Cogent Education","topic":"Educational Leadership and Innovation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Psychology; Mathematics education; Pedagogy; Knowledge management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01484125,0.0004142709,0.0004292525,0.0007485079,0.004743448,0.004547298,0.001955656,0.002474912,0.002802235],"category_scores_gemma":[0.02272408,0.0001482153,0.0008017558,0.0004603742,0.006025543,0.005767909,0.008623567,0.005602534,0.000567568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002302184,"about_ca_system_score_gemma":0.008316884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386543,"about_ca_topic_score_gemma":0.006063812,"domain_scores_codex":[0.9914193,0.006280616,0.0001425718,0.0002853612,0.0009237152,0.0009484297],"domain_scores_gemma":[0.9865867,0.007045039,0.0003560386,0.0007080413,0.0008842734,0.004419991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002588692,0.003246712,0.01088048,0.001441398,0.00005855816,0.005615777,0.1689622,0.001320607,0.002231895,0.1124465,0.06014642,0.6333907],"study_design_scores_gemma":[0.0001787756,0.002917195,0.01338609,0.003339333,0.0000570702,0.004662421,0.2127897,0.002282785,0.002447743,0.1191053,0.6386424,0.0001910954],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5135104,0.01588314,0.02481184,0.3822856,0.007506538,0.0006966228,0.00007119084,0.0002255521,0.05500919],"genre_scores_gemma":[0.8782641,0.01659556,0.05324004,0.02956806,0.0016271,0.0007388829,0.0001002822,0.0001577037,0.01970825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484125,"threshold_uncertainty_score":0.07848901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1532806862365005,"score_gpt":0.4815721984969381,"score_spread":0.3282915122604376,"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."}}