{"id":"W3203041924","doi":"10.1086/715918","title":"Digital Literacy Training for Canadians, Part 1: “It’s … Just Core Public Works”","year":2021,"lang":"en","type":"article","venue":"The Library Quarterly","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital literacy; Public relations; Competition (biology); Literacy; Information literacy; Training (meteorology); Digital divide; Core (optical fiber); Key (lock); Business; Political science; Sociology; Information and Communications Technology; Pedagogy; Computer science; Telecommunications","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":[0.00156002,0.0003068279,0.000140865,0.0013763,0.01083766,0.003180865,0.0009468804,0.001897624,0.01207488],"category_scores_gemma":[0.003683902,0.0002372988,0.000194742,0.002198943,0.002770465,0.001095161,0.001511308,0.001696854,0.001152243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03208114,"about_ca_system_score_gemma":0.1243182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9586317,"about_ca_topic_score_gemma":0.9909809,"domain_scores_codex":[0.998877,0.0001018531,0.00003111189,0.00007022663,0.0004588374,0.00046106],"domain_scores_gemma":[0.9976335,0.0002324037,0.00009106766,0.00005062302,0.001002024,0.0009902704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004872894,0.0002261673,0.01115333,0.001093302,0.000007532455,0.0003051992,0.0370428,0.0001355005,0.001653673,0.03706101,0.6953484,0.2159243],"study_design_scores_gemma":[0.00001207575,0.00003953502,0.03872303,0.0005586464,0.00001124749,0.00009700785,0.01837361,0.00004521246,0.0005846479,0.000729699,0.9407967,0.0000286179],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1187032,0.02316844,0.001698916,0.1738997,0.00446716,0.0008162612,0.002747342,0.0001893701,0.6743095],"genre_scores_gemma":[0.5081993,0.0202793,0.006424957,0.06233658,0.0007430813,0.0005156125,0.002511487,0.0001329883,0.3988566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04136831,"threshold_uncertainty_score":0.2327661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102674426263783,"score_gpt":0.2654554107346201,"score_spread":0.1551879681082419,"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."}}