{"id":"W2127330181","doi":"10.1002/meet.14505001104","title":"Information world mapping: A participatory, visual, elicitation activity for information practice interviews","year":2013,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Photovoice; Participant observation; Citizen journalism; Photo elicitation; Participatory action research; Knowledge management; Interpersonal communication; Sociology; Qualitative research; Computer science; Psychology; Social science; World Wide Web; Visual arts","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":[0.04942818,0.001154746,0.0005891178,0.003353879,0.006903956,0.004798278,0.002347637,0.001825988,0.005357489],"category_scores_gemma":[0.04725675,0.0007943723,0.0007566888,0.003869165,0.006466258,0.005031177,0.009924731,0.001865411,0.001148623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002485509,"about_ca_system_score_gemma":0.005327094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110643,"about_ca_topic_score_gemma":0.002069257,"domain_scores_codex":[0.932043,0.06288848,0.0009290464,0.001189346,0.001980714,0.0009693436],"domain_scores_gemma":[0.9483385,0.04373976,0.001586544,0.003483565,0.001704401,0.001147242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003175885,0.0004462357,0.002234283,0.001321352,0.00002702052,0.00100144,0.7477174,0.002133882,0.01507369,0.03589363,0.007243446,0.18659],"study_design_scores_gemma":[0.0004276884,0.00104093,0.004052682,0.002155499,0.00005943738,0.001615473,0.6386268,0.0134998,0.02007278,0.0674323,0.2507933,0.0002233159],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1906806,0.0004567623,0.7380134,0.0043803,0.0002425707,0.01254954,0.0007008509,0.001084836,0.0518911],"genre_scores_gemma":[0.4299545,0.0004485548,0.5475003,0.0003336462,0.00005442127,0.01664991,0.0002454083,0.0002001906,0.004613131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04942818,"threshold_uncertainty_score":0.2614043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2347235101995437,"score_gpt":0.5341054907094741,"score_spread":0.2993819805099304,"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."}}