{"id":"W1897040144","doi":"10.1002/meet.2014.14505101002","title":"The informing nature of talk &amp; text: Discourse analysis as a research approach in information science","year":2014,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Discourse analysis; Construct (python library); Sociology; Relation (database); Critical discourse analysis; Epistemology; Data science; Computer science; Linguistics; Political science; Politics","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":[0.06417239,0.0007179309,0.0009013003,0.01073969,0.01028246,0.02993089,0.00197943,0.003000272,0.004884696],"category_scores_gemma":[0.05404429,0.0005464798,0.0005076366,0.0130381,0.03498549,0.02757631,0.007292573,0.00454664,0.000754337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005798548,"about_ca_system_score_gemma":0.005229742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327164,"about_ca_topic_score_gemma":0.001894151,"domain_scores_codex":[0.911224,0.08180989,0.001260444,0.001680746,0.003388476,0.0006365182],"domain_scores_gemma":[0.7993689,0.1851713,0.003848696,0.004593871,0.005768811,0.001248423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000949535,0.00007156613,0.001675292,0.001059334,0.00004236253,0.0003016872,0.4406233,0.0006037428,0.001886089,0.4705842,0.00820358,0.07485395],"study_design_scores_gemma":[0.00004521522,0.0000909619,0.003417173,0.00535833,0.00005705081,0.0003916587,0.3621613,0.004880646,0.003997828,0.3656964,0.2537742,0.0001292293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1624049,0.03443258,0.3838501,0.1373966,0.003160232,0.001430139,0.0008726651,0.0005331804,0.2759196],"genre_scores_gemma":[0.914189,0.01261137,0.05830598,0.003525092,0.001165543,0.001201839,0.0002232626,0.0002664472,0.008511463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06417239,"threshold_uncertainty_score":0.3393801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752114959612446,"score_gpt":0.37972541258388,"score_spread":0.3622042629877556,"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."}}