{"id":"W2609153341","doi":"10.1016/j.lisr.2017.03.003","title":"Information world mapping: A participatory arts-based elicitation method for information behavior interviews","year":2017,"lang":"en","type":"article","venue":"Library & Information Science Research","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Information behavior; Context (archaeology); Citizen journalism; The arts; Information literacy; Mind map; Photo elicitation; Sociology; Psychology; Computer science; Data science; Knowledge management; World Wide Web; Human–computer interaction; Mathematics education; Visual arts; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01653885,0.001383685,0.0006345517,0.003657816,0.004070872,0.002424553,0.002406478,0.001217291,0.011113],"category_scores_gemma":[0.03644289,0.000872188,0.0006559963,0.003635651,0.003144058,0.002736359,0.006699924,0.001436806,0.001694022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163557,"about_ca_system_score_gemma":0.006245765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176746,"about_ca_topic_score_gemma":0.007523227,"domain_scores_codex":[0.9708127,0.02447053,0.0007569169,0.001587664,0.001591584,0.0007806435],"domain_scores_gemma":[0.9576796,0.03503849,0.001125254,0.003166077,0.002479112,0.0005114647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00108284,0.00124687,0.0048351,0.004373701,0.00008060733,0.0006151119,0.4805423,0.004841297,0.06684784,0.06219384,0.0115123,0.3618282],"study_design_scores_gemma":[0.001402347,0.001740121,0.01987125,0.002561535,0.0002481931,0.001059556,0.3275376,0.0444821,0.1058099,0.1429577,0.3517855,0.0005440764],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1216056,0.0001525566,0.7956482,0.00114725,0.0001413692,0.02541327,0.002996471,0.001123318,0.05177205],"genre_scores_gemma":[0.2723017,0.000169901,0.6557563,0.0003192476,0.00002793022,0.06061698,0.0008827287,0.0003386938,0.009586472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01653885,"threshold_uncertainty_score":0.0874669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.81936184952906,"score_gpt":0.7113782514068586,"score_spread":0.1079835981222014,"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."}}