{"id":"W1968399577","doi":"10.1108/13522751311289721","title":"Visual and projective methods in Asian research","year":2013,"lang":"en","type":"article","venue":"Qualitative Market Research An International Journal","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Projective test; Data collection; Strengths and weaknesses; Context (archaeology); Qualitative research; Originality; Computer science; Data science; Visual research; Qualitative property; Research design; Management science; Psychology; Sociology; Geography; Social science; Social psychology; Engineering; Visual arts","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":[0.07103836,0.001489277,0.00114014,0.006430542,0.005115835,0.009608367,0.002657103,0.001370804,0.01138547],"category_scores_gemma":[0.06653653,0.0007944873,0.001277399,0.009923803,0.01797367,0.007793128,0.01104893,0.002837709,0.001238765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00518224,"about_ca_system_score_gemma":0.0106336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097807,"about_ca_topic_score_gemma":0.005011099,"domain_scores_codex":[0.9037997,0.0859455,0.002828215,0.002227277,0.004368314,0.0008310829],"domain_scores_gemma":[0.9203088,0.05813007,0.006750662,0.006765337,0.007071644,0.0009735388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001720851,0.0001633692,0.005550718,0.01356243,0.0001611156,0.0007841269,0.3990721,0.0006805412,0.001866025,0.2687562,0.004844552,0.3043867],"study_design_scores_gemma":[0.00009546371,0.0005196956,0.008474253,0.02267283,0.0002615086,0.002174857,0.4914511,0.001405749,0.005080391,0.1675041,0.30018,0.0001800309],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09595912,0.08970147,0.5323783,0.01949432,0.002824798,0.007976928,0.0006855268,0.0005329398,0.2504466],"genre_scores_gemma":[0.5924966,0.04433781,0.3272473,0.003965928,0.0005388479,0.01527784,0.0002534525,0.000388444,0.0154938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07103836,"threshold_uncertainty_score":0.3756912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8665696201697611,"score_gpt":0.8354279366502402,"score_spread":0.03114168351952096,"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."}}