{"id":"W1676700864","doi":"10.1177/160940690200100402","title":"Writing Competitions as a New Research Method","year":2002,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Interview; Competition (biology); Data collection; Ethnography; Computer science; Research method; Data science; Mathematics education; Operations research; Sociology; Psychology; Social science; Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1037239,0.001053419,0.00134215,0.008051109,0.005960329,0.0143451,0.00393701,0.001561653,0.0078906],"category_scores_gemma":[0.1067644,0.0009686932,0.0007914388,0.008150264,0.01562572,0.01453784,0.01374535,0.004393023,0.001203545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005040124,"about_ca_system_score_gemma":0.008268907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472488,"about_ca_topic_score_gemma":0.002371317,"domain_scores_codex":[0.7504395,0.2170398,0.00639239,0.007451947,0.01704717,0.001629238],"domain_scores_gemma":[0.7925257,0.1586936,0.008316487,0.01639657,0.01898167,0.005086065],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003277929,0.0004261264,0.007148454,0.00313801,0.00006705312,0.0005163269,0.5148458,0.0009593085,0.002492953,0.2036471,0.009586276,0.2568448],"study_design_scores_gemma":[0.0005894642,0.001132401,0.007956057,0.003408489,0.0001002902,0.001831746,0.3433817,0.008040644,0.005437636,0.1803243,0.4473428,0.0004543144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1970582,0.003232742,0.5935239,0.01190736,0.003289391,0.01684781,0.001051405,0.0006068203,0.1724824],"genre_scores_gemma":[0.5105654,0.001413382,0.435722,0.001890158,0.0006640233,0.0282469,0.0004153185,0.0004387801,0.02064396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8962761,"threshold_uncertainty_score":0.548551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9231764384626286,"score_gpt":0.811001377533886,"score_spread":0.1121750609287426,"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."}}