{"id":"W2994034775","doi":"10.3991/ijac.v12i3.11170","title":"Deconstructing Paper-Lined Cubicles: Digital Literacy and Information Technology Resources in the Workplace","year":2019,"lang":"en","type":"article","venue":"International Journal of Advanced Corporate Learning (iJAC)","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reading (process); Literacy; Digital literacy; Information literacy; Workstation; Digital learning; Knowledge base; Knowledge management; Computer science; Computer literacy; Multimedia; Pedagogy; World Wide Web; Psychology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00188475,0.0002970324,0.0002136805,0.00177638,0.004372443,0.0106135,0.001096397,0.001620563,0.01073615],"category_scores_gemma":[0.006662374,0.0002318106,0.0002644682,0.00157682,0.01134133,0.009027827,0.005485179,0.001937169,0.001019873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00288309,"about_ca_system_score_gemma":0.003275326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00767314,"about_ca_topic_score_gemma":0.01292172,"domain_scores_codex":[0.9984176,0.0008796877,0.00005051681,0.0001472123,0.0002751201,0.0002298261],"domain_scores_gemma":[0.9963152,0.002156977,0.0004171982,0.0003295086,0.0003905188,0.0003906295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001103972,0.0003557459,0.02059535,0.0004376936,0.00001143576,0.001558457,0.5092072,0.0008464647,0.002104233,0.2345601,0.01293432,0.2172787],"study_design_scores_gemma":[0.00001960532,0.0001579046,0.0249084,0.001059042,0.00001408687,0.0007938206,0.6783841,0.002005772,0.001568602,0.1379489,0.1530906,0.00004932473],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.667813,0.002946822,0.01530319,0.0228351,0.0001732834,0.0001201151,0.00008733518,0.0001439144,0.2905773],"genre_scores_gemma":[0.9827991,0.0008160112,0.003732841,0.0006529076,0.00002584439,0.00003319302,0.00003999408,0.00004008229,0.01185995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073615,"threshold_uncertainty_score":0.03591597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008559736406688638,"score_gpt":0.268274257874552,"score_spread":0.2597145214678634,"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."}}