{"id":"W2009700225","doi":"10.3138/y413-1g62-6h6g-0l3q","title":"Adapting to the Machine: Integrating GIS into Qualitative Research","year":2004,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Participatory GIS; Geographic information system; Variety (cybernetics); Data science; Traditional knowledge GIS; Focus (optics); GIS and public health; Citizen journalism; Action research; Participatory action research; Action (physics); Qualitative research; Computer science; Public participation GIS; Management science; Sociology; Geography; Social science; GIS Day; World Wide Web; Cartography; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.1835515,0.001048899,0.001408161,0.005476877,0.01025847,0.01196914,0.004239612,0.002993119,0.004214477],"category_scores_gemma":[0.1743219,0.001384974,0.000923881,0.006420639,0.02801122,0.01393165,0.01611138,0.003928746,0.0006441888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007855436,"about_ca_system_score_gemma":0.01247636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184208,"about_ca_topic_score_gemma":0.007640225,"domain_scores_codex":[0.7350839,0.2535829,0.002681876,0.002459681,0.004446823,0.001744747],"domain_scores_gemma":[0.7066021,0.2655956,0.005268828,0.01331506,0.007035986,0.002182314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006760221,0.00008116676,0.001456942,0.0009847246,0.00002215981,0.0005184564,0.8861163,0.0009320991,0.001288763,0.06619002,0.001772934,0.04056884],"study_design_scores_gemma":[0.00007630268,0.0002115206,0.001267607,0.00239145,0.00003690541,0.0005523928,0.7451311,0.005152927,0.001934537,0.1584596,0.08468159,0.0001040116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1765005,0.003153838,0.7258752,0.03720874,0.0007951253,0.0122648,0.0008723923,0.0005851747,0.04274429],"genre_scores_gemma":[0.4276345,0.001944524,0.5469882,0.003807759,0.00009895554,0.01597583,0.0002246384,0.0001989066,0.003126699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1835515,"threshold_uncertainty_score":0.9707246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05951168852295784,"score_gpt":0.456541398803923,"score_spread":0.3970297102809652,"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."}}