{"id":"W4226164732","doi":"10.1007/978-981-19-0351-9_44-1","title":"Accreditation and Recognition of Prior Learning in Higher Education","year":2022,"lang":"en","type":"book-chapter","venue":"Handbook of Open, Distance and Digital Education","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Accreditation; Experiential learning; Context (archaeology); Engineering ethics; Inclusion (mineral); Process (computing); Pedagogy; Diversity (politics); Political science; Sociology; Medical education; Engineering; Medicine; Computer science; Social science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004071521,0.0001490417,0.0002578018,0.000193782,0.0002199828,0.0002894361,0.0001771862,0.0001287368,0.002438967],"category_scores_gemma":[0.0002873763,0.0001801503,0.00003152902,0.0001104969,0.000240819,0.001724117,0.00007344455,0.0002535147,0.000008601894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365551,"about_ca_system_score_gemma":0.002286529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007812598,"about_ca_topic_score_gemma":0.0002055695,"domain_scores_codex":[0.9987622,0.00008355816,0.000414507,0.0003197701,0.0003031687,0.0001167728],"domain_scores_gemma":[0.9984215,0.0002701992,0.000839884,0.000128353,0.0002622425,0.00007774668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001784598,0.0004964226,0.007628362,0.0003944672,0.00003579525,3.782727e-7,0.03003332,0.000003793869,0.00003645105,0.223964,0.004193637,0.7330349],"study_design_scores_gemma":[0.0002013438,0.00008740718,0.005797961,0.001003049,0.00004064095,0.000001039735,0.006905485,5.655471e-7,0.00001110122,0.02580015,0.9599186,0.0002326248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01911275,0.007404778,0.00001005744,0.001414618,0.0009069989,0.0008185441,0.00003373272,0.00002034332,0.9702782],"genre_scores_gemma":[0.3438323,0.004074924,0.0004208999,0.00008689432,0.0002369622,0.0001281247,0.0005854021,0.00003368484,0.6506008],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.955725,"threshold_uncertainty_score":0.9984729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07164841570141894,"score_gpt":0.3719521907166284,"score_spread":0.3003037750152095,"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."}}