{"id":"W2496724065","doi":"10.1075/dapsac.55.07wes","title":"The Qualitative Analysis of Political Documents","year":2014,"lang":"en","type":"book-chapter","venue":"Discourse approaches to politics, society and culture","topic":"Rhetoric and Communication Studies","field":"Arts and Humanities","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sophistication; Politics; Trustworthiness; Quantitative analysis (chemistry); Perspective (graphical); Discipline; Task (project management); Qualitative analysis; Qualitative research; Political science; Epistemology; Data science; Social science; Engineering ethics; Sociology; Computer science; Engineering; Law","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":[0.0262639,0.0004151092,0.0005483804,0.004490795,0.006117175,0.00899271,0.001569399,0.0009975705,0.008363949],"category_scores_gemma":[0.04497754,0.000342839,0.0003067138,0.007532961,0.01037407,0.004112786,0.003909439,0.001861244,0.001668142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209841,"about_ca_system_score_gemma":0.01759191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974791,"about_ca_topic_score_gemma":0.01969425,"domain_scores_codex":[0.9732522,0.01847991,0.0006785869,0.000971725,0.005835679,0.0007818402],"domain_scores_gemma":[0.9481618,0.03871125,0.001761943,0.002421357,0.008034843,0.0009088486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004909017,0.00004593703,0.002001832,0.00123096,0.000008725796,0.0002786119,0.4743367,0.0004718545,0.001906043,0.4177715,0.01938184,0.08251683],"study_design_scores_gemma":[0.00002126564,0.00003517076,0.002053015,0.002383264,0.000009131447,0.0002407927,0.3530688,0.0007814952,0.002175411,0.08417992,0.5550044,0.00004723265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1708377,0.005714399,0.1912041,0.04255823,0.001319597,0.00868001,0.01199239,0.0003784841,0.5673151],"genre_scores_gemma":[0.7512593,0.005899406,0.1141213,0.004266534,0.000310226,0.01074439,0.002695804,0.0003309439,0.1103721],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0262639,"threshold_uncertainty_score":0.1388984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1626037375710497,"score_gpt":0.3464741306747391,"score_spread":0.1838703931036894,"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."}}