{"id":"W3013550257","doi":"10.51357/jei.v1i1.48","title":"Negotiating the Digital Maze of Information Literacy","year":2018,"lang":"en","type":"article","venue":"Journal of Educational Informatics","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Information literacy; Literacy; Negotiation; Critical literacy; Computer science; Key (lock); Data science; Sociology; Social science; Pedagogy; World Wide Web","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009118498,0.00006137422,0.0001018116,0.0002039959,0.0002898124,0.000686217,0.0004809871,0.00003739664,0.0004191519],"category_scores_gemma":[0.001365631,0.00004008535,0.00007195414,0.0005088319,0.0003510396,0.04095403,0.00003432093,0.0001228999,0.0001242431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004517461,"about_ca_system_score_gemma":0.001030906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001757852,"about_ca_topic_score_gemma":3.597607e-7,"domain_scores_codex":[0.9980239,0.00003099731,0.001122431,0.00001580004,0.0006595101,0.0001473854],"domain_scores_gemma":[0.9966027,0.0004606922,0.001476977,0.00010739,0.00126101,0.00009126774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002450241,0.00006291299,0.009956554,0.00003794654,0.00003039123,3.811039e-8,0.4468512,0.0002926803,0.000002039166,0.4679555,0.04317572,0.03161053],"study_design_scores_gemma":[0.0001699094,0.0001085064,0.008810467,0.00006197853,0.000007662033,0.00001678509,0.04203796,0.00165676,0.00002678615,0.005065096,0.9419569,0.00008111862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6500376,0.0001122864,0.003569371,0.02495633,0.003968302,0.0003302299,0.00004323573,0.00001417408,0.3169684],"genre_scores_gemma":[0.9918649,0.0000333307,0.004257611,0.002305662,0.0009362075,0.000001248616,0.00001374234,0.000001968833,0.0005853486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8987812,"threshold_uncertainty_score":0.9724597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235387823947072,"score_gpt":0.3192150492889187,"score_spread":0.306861171049448,"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."}}