{"id":"W2113279892","doi":"10.5334/2008-7","title":"Building Open Educational Resources from the Ground Up: South Africa's Free High School Science Texts","year":2008,"lang":"en","type":"article","venue":"Journal of Interactive Media in Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; William and Flora Hewlett Foundation","keywords":"Open educational resources; Sustainability; Process (computing); Sociology; Public relations; Library science; Knowledge management; Political science; Computer science; Pedagogy; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334351,0.0001418075,0.0002044018,0.0004606361,0.0004549558,0.0008624763,0.004129499,0.00003943087,0.0002316532],"category_scores_gemma":[0.006319853,0.0001039535,0.00005759787,0.001106381,0.0002103293,0.004263291,0.0005344173,0.000701607,0.00005818634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000635688,"about_ca_system_score_gemma":0.003888604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005992703,"about_ca_topic_score_gemma":0.00004353878,"domain_scores_codex":[0.9979442,0.0002649721,0.0005403147,0.0003140965,0.0006935623,0.0002428594],"domain_scores_gemma":[0.996219,0.00139749,0.00083469,0.0004598468,0.0008690119,0.0002199841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000223358,0.002054344,0.09666149,0.000009484575,0.00009974204,0.00001106665,0.7475054,0.0004265204,0.007124976,0.05514003,0.05280697,0.03793667],"study_design_scores_gemma":[0.0006087419,0.00009099875,0.9153107,0.0003068658,0.00001223047,0.0001311043,0.04818553,0.0002625131,0.001057102,0.02125214,0.01255715,0.0002248744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753619,0.0003047923,0.001248883,0.01215344,0.007972719,0.0001875161,0.000001711486,0.000007376247,0.002761601],"genre_scores_gemma":[0.9691251,0.00003285571,0.02881631,0.0004451298,0.001221751,0.00002314774,0.000002017694,0.000008952384,0.0003247417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8186492,"threshold_uncertainty_score":0.8316879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787495078556236,"score_gpt":0.3160731285902011,"score_spread":0.2881981778046388,"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."}}