{"id":"W4399095527","doi":"10.1177/07410883241242106","title":"The Discursive Boundary Work of Recontextualizing Science for Policy: Opening the Black Box of an Organization’s Genre System and Intermediary Genre Sets","year":2024,"lang":"en","type":"article","venue":"Written Communication","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Boundary-work; Genre analysis; Discourse analysis; Work (physics); Boundary (topology); Sociology; Black box; Linguistics; Critical discourse analysis; Social science; Political science; Physics; Computer science; Ideology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009325362,0.00008503152,0.0001454494,0.00009264677,0.001263059,0.0004961682,0.0007285379,0.00001723659,0.00001058148],"category_scores_gemma":[0.0002324138,0.00004885126,0.00004124011,0.0002303323,0.002360464,0.0004082953,0.0003374628,0.00008980461,0.000001822759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006193583,"about_ca_system_score_gemma":0.0001104146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000325402,"about_ca_topic_score_gemma":0.0009959724,"domain_scores_codex":[0.999168,0.0001273914,0.0002863325,0.0001364287,0.0001603054,0.0001215205],"domain_scores_gemma":[0.9983826,0.0004478973,0.0001630696,0.0006171321,0.000369454,0.00001985099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000015911,0.00002580666,0.0002546226,0.0002170053,0.0002584841,5.740167e-7,0.3917863,0.00001156426,0.0001990601,0.5715954,0.001510618,0.03412469],"study_design_scores_gemma":[0.0001946075,0.00008184434,0.001361415,0.001363197,0.0003240069,0.00000761276,0.9749125,0.004012323,0.0006030813,0.003811184,0.01310778,0.0002205015],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062492,0.03639926,0.0004871642,0.01848033,0.0005864047,0.001490809,0.0001950042,0.000155935,0.03595594],"genre_scores_gemma":[0.9987277,0.0002769447,0.0001898518,0.00004379918,0.0001182455,0.00002596612,0.00003510306,0.000016007,0.0005663448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5831261,"threshold_uncertainty_score":0.9714556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310936365677129,"score_gpt":0.3032826306948683,"score_spread":0.280173267038097,"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."}}