{"id":"W1973846767","doi":"10.1007/s10502-006-9024-4","title":"Towards the development of an archival core curriculum: The United States and Canada","year":2006,"lang":"en","type":"article","venue":"Archives and Museum Informatics","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Syllabus; Curriculum; Core curriculum; Archival science; Curriculum development; Library science; Sociology; Core Knowledge; Engineering ethics; Political science; Pedagogy; Engineering; Computer science; Knowledge management","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":[0.004425772,0.0002388223,0.0002907391,0.002385586,0.01241114,0.007679969,0.002134212,0.001226246,0.005604076],"category_scores_gemma":[0.007095834,0.0003078619,0.0002014735,0.003209786,0.001817189,0.001909745,0.003371329,0.00190303,0.000413802],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1214595,"about_ca_system_score_gemma":0.4716524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931058,"about_ca_topic_score_gemma":0.9976287,"domain_scores_codex":[0.9974856,0.0002683604,0.00006987599,0.0001578719,0.0008551226,0.001163119],"domain_scores_gemma":[0.9886402,0.0004832321,0.0002260427,0.0001344222,0.004667678,0.005848484],"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":[0.0002986442,0.001184388,0.1136247,0.000417228,0.00003037042,0.0009256335,0.08312496,0.002735613,0.003616748,0.1416015,0.1085728,0.5438674],"study_design_scores_gemma":[0.00009348176,0.000180425,0.2838677,0.0008877582,0.00004158578,0.0002028078,0.1924357,0.003517313,0.003828558,0.007425011,0.5074302,0.00008939363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8114733,0.002722195,0.003830119,0.03366993,0.0002985847,0.0006739836,0.0009715522,0.0002041523,0.1461561],"genre_scores_gemma":[0.9354045,0.001529233,0.008257276,0.001998457,0.00002494113,0.0001498569,0.0005267099,0.00005765613,0.05205132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8785405,"threshold_uncertainty_score":0.8812541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804413716635695,"score_gpt":0.1863489934489367,"score_spread":0.1683048562825798,"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."}}