{"id":"W3190381520","doi":"10.1007/978-3-030-71363-8_22","title":"The Academic Hedge, Part II: Getting Politeness Right in Your Research Writing","year":2021,"lang":"en","type":"book-chapter","venue":"Innovation and change in professional education","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Politeness; Conversation; Face (sociological concept); Nothing; Solidarity; Politeness theory; Psychology; Humility; Hedge; Field (mathematics); Construct (python library); Social psychology; Linguistics; Sociology; Political science; Epistemology; Computer science; Communication; Law; Social science; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005548159,0.0001542229,0.0001707959,0.00061497,0.001601873,0.0001205015,0.0002330733,0.0004871924,0.000377729],"category_scores_gemma":[0.001048931,0.0001345262,0.00002089625,0.0008069079,0.0002993992,0.000229045,0.0001550064,0.001531389,0.00001478899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000570182,"about_ca_system_score_gemma":0.003032379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003069608,"about_ca_topic_score_gemma":0.0007393275,"domain_scores_codex":[0.9973705,0.0003331747,0.0007015142,0.0003699508,0.0008113101,0.0004135161],"domain_scores_gemma":[0.9978996,0.0005396034,0.000198685,0.0001467175,0.001143766,0.00007166019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004604815,0.00005632012,0.001238753,0.00004088039,0.000002850525,7.95797e-7,0.02189654,1.645438e-8,0.000004835279,0.9041476,0.005504085,0.06710276],"study_design_scores_gemma":[0.00008509021,0.000005472833,0.005628768,0.002162453,0.000001974276,0.000001142877,0.01954702,0.00000258322,0.000007117346,0.2673914,0.7049977,0.0001693631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1673024,0.008935047,0.000001889814,0.3227757,0.0261017,0.002163173,0.00001185216,0.00007801876,0.4726303],"genre_scores_gemma":[0.161384,0.003387871,0.0001299508,0.005760602,0.006153021,0.0007473844,0.000298614,0.00003868555,0.8220998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6994935,"threshold_uncertainty_score":0.9996979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2392187299712039,"score_gpt":0.5034458410424071,"score_spread":0.2642271110712032,"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."}}