{"id":"W432665392","doi":"10.37099/mtu.dc.etd-restricted/171","title":"Add a Dash of Rhetoric, a Pinch of Technical Communication, a Handful of Pedagogy, and Mix Well: Cookbooks and Recipes as Instructional Texts, and What Domestic Texts from 1870 to 1935 Can Teach Us About Technical Communication","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rhetorical question; Rhetoric; Affect (linguistics); Technical communication; Kairos; Psychology; Sociology; Literature; Linguistics; Art; Communication; Engineering; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001635865,0.0003636691,0.0008534265,0.0004766888,0.0006743751,0.0001766051,0.001190196,0.0009316268,0.0002119632],"category_scores_gemma":[0.001555067,0.0003733575,0.00009069681,0.0004559524,0.00176229,0.0004825625,0.0003148959,0.0008993155,0.000002562887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324935,"about_ca_system_score_gemma":0.001534114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04335332,"about_ca_topic_score_gemma":0.2728288,"domain_scores_codex":[0.9964638,0.0007349786,0.001264872,0.0005229497,0.0007225107,0.0002908478],"domain_scores_gemma":[0.9941698,0.00174486,0.001117647,0.001634362,0.001009998,0.0003232877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001396381,0.002547295,0.08225772,0.001713121,0.0005796573,0.000001414482,0.2024701,0.000005723246,0.02485766,0.1270089,0.005855499,0.5513066],"study_design_scores_gemma":[0.002334394,0.0005738156,0.8648674,0.004055046,0.0008125734,0.00005819816,0.05820994,0.00003753574,0.003766188,0.03645482,0.02738338,0.001446684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697279,0.01409278,0.0000454711,0.001585206,0.0002834534,0.001329969,0.00007938724,0.0000730817,0.01278275],"genre_scores_gemma":[0.9510037,0.03282848,0.01319958,0.00006632031,0.00007933645,0.0001923682,0.001258026,0.00003859411,0.001333593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7826097,"threshold_uncertainty_score":0.9998719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389152069879859,"score_gpt":0.3490028806812965,"score_spread":0.3351113599824979,"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."}}