{"id":"W3031336808","doi":"10.17169/fqs-21.2.3242","title":"You Want Me to Draw What? Body Mapping in Qualitative Research as Canadian Socio-Political Commentary","year":2019,"lang":"en","type":"article","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fanshawe College","funders":"","keywords":"Politics; Qualitative research; Art history; Sociology; Visual arts; Media studies; Art; Social science; Geography; Cartography; Library science; Anthropology; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["sts","scholarly_communication"],"category_scores_codex":[0.06609037,0.0003811337,0.0006950733,0.001133042,0.03502526,0.01424131,0.01424759,0.0002940914,0.0002006322],"category_scores_gemma":[0.005618327,0.0003311327,0.0002578725,0.01036516,0.01900141,0.01393673,0.00319669,0.0008434211,0.0001570798],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007420546,"about_ca_system_score_gemma":0.0183181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6405354,"about_ca_topic_score_gemma":0.2035445,"domain_scores_codex":[0.9826062,0.005217561,0.0008864048,0.001652621,0.005087908,0.004549286],"domain_scores_gemma":[0.9938669,0.00261372,0.0002792596,0.0005138379,0.001282363,0.001443904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009580242,0.0001956917,0.009782814,0.00003023972,0.00004689331,0.00002324692,0.3405808,0.00002003351,0.003109235,0.6343633,0.006276686,0.005475278],"study_design_scores_gemma":[0.0007431027,0.0002156748,0.02055122,0.0001660983,0.00002649373,0.000001834125,0.8262233,0.0001360798,0.001435707,0.03451871,0.1151151,0.000866736],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6611013,0.0000892163,0.000153638,0.1383601,0.004225994,0.006608849,0.00005571464,0.00007253326,0.1893327],"genre_scores_gemma":[0.9909264,0.00002897791,0.0005749167,0.004507328,0.001241398,0.0009419644,0.000005521065,0.00003063878,0.001742862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5998446,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6899389571949777,"score_gpt":0.721332262525319,"score_spread":0.03139330533034135,"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."}}