{"id":"W4385978611","doi":"10.1075/lcs.00037.kar","title":"Researching ideologies","year":2023,"lang":"en","type":"article","venue":"Language Culture and Society","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ideology; Selection (genetic algorithm); Semiotics; Politics; Sociology; Relation (database); Linguistics; Critical discourse analysis; Content (measure theory); Multimodality; Epistemology; Power (physics); Computer science; Political science; Philosophy; Artificial intelligence; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002803429,0.00008392443,0.00009726911,0.00002190661,0.0005526263,0.000204419,0.00008274842,0.00004683351,0.0005562481],"category_scores_gemma":[0.00007637742,0.00005812197,0.00008545091,0.00004599467,0.0001328744,0.0001156796,0.00006704254,0.0003030804,0.00009474555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006378954,"about_ca_system_score_gemma":0.000005474247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004810427,"about_ca_topic_score_gemma":0.0001687476,"domain_scores_codex":[0.9994024,0.00004262475,0.00007401199,0.0001528981,0.0001064733,0.0002215638],"domain_scores_gemma":[0.9997492,0.00006856189,0.00002202591,0.0001028295,0.00001807082,0.00003927591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000001467106,0.000005036776,0.00019003,0.00003403052,0.00003518393,0.0000243807,0.913424,0.000002066321,0.0005895618,0.03072279,0.03930083,0.01567069],"study_design_scores_gemma":[0.0001791216,0.00002808157,0.0005250946,0.0000238643,0.00001067451,0.000004629155,0.7677109,0.000213098,0.00006799484,0.0004318251,0.2306598,0.0001449011],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009528,0.001660497,0.000009346991,0.0003874249,0.0001575241,0.00005665296,0.00001240846,0.0005935302,0.09616987],"genre_scores_gemma":[0.8922182,0.0001248596,0.0001356868,0.000992901,0.0007063626,0.000007123035,0.00005588049,0.00001325049,0.1057457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1913589,"threshold_uncertainty_score":0.6090527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115722547519763,"score_gpt":0.2869880163620947,"score_spread":0.2558307908868971,"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."}}