{"id":"W2804508470","doi":"","title":"Elluminate Artical: Using Third Generation Activity Theory and Contradictions to Analyse Qualitative Data","year":2007,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative research; Computer science; Qualitative property; Data science; Sociology; Mathematics education; Psychology; Social science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03383854,0.001300717,0.001133981,0.01328069,0.004015597,0.01035909,0.002516024,0.001404747,0.01658771],"category_scores_gemma":[0.0737488,0.00123076,0.001580637,0.01234506,0.007582654,0.01115194,0.009341767,0.00269606,0.002541803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005013742,"about_ca_system_score_gemma":0.004899497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334518,"about_ca_topic_score_gemma":0.009360541,"domain_scores_codex":[0.9761342,0.01944585,0.001058281,0.001372702,0.001624309,0.0003646028],"domain_scores_gemma":[0.9149587,0.07433011,0.002214432,0.005385585,0.002703907,0.0004073276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001744383,0.000131504,0.004405823,0.003250255,0.0001591189,0.0005088089,0.4050367,0.002088171,0.002006605,0.280865,0.02004476,0.2813289],"study_design_scores_gemma":[0.0002381144,0.0001354718,0.007964835,0.00393769,0.00015935,0.0006639575,0.2910988,0.02720347,0.00417843,0.3940343,0.2701328,0.0002528558],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05452729,0.001031235,0.8848873,0.003355837,0.0003575426,0.005685925,0.006564802,0.002493636,0.04109645],"genre_scores_gemma":[0.1442271,0.0006013818,0.8228893,0.0003298904,0.00003072368,0.02176685,0.003076724,0.001032086,0.006045979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03383854,"threshold_uncertainty_score":0.1789575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6031192348079979,"score_gpt":0.6890880140441717,"score_spread":0.08596877923617385,"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."}}