{"id":"W4413246018","doi":"10.1016/j.pragma.2025.07.013","title":"Putting negotiation on a ‘principal-ed’ footing: A corpus-informed discourse analysis of person deixis in diplomatic debates","year":2025,"lang":"en","type":"article","venue":"Journal of Pragmatics","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Deixis; Negotiation; Principal (computer security); Linguistics; Discourse analysis; Sociology; Psychology; Epistemology; Philosophy; Computer science; Social science","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":[0.0007663749,0.0001559253,0.0005475777,0.001071666,0.0001321981,0.0001934298,0.0003736469,0.00004897776,0.0001719172],"category_scores_gemma":[0.0008478312,0.0001194391,0.0002435811,0.000384085,0.0001446539,0.0004343931,0.00004624011,0.000264337,0.000004329414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385919,"about_ca_system_score_gemma":0.0001979298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009134294,"about_ca_topic_score_gemma":0.001467858,"domain_scores_codex":[0.9981371,0.000155431,0.001062849,0.00008441978,0.000380636,0.0001795287],"domain_scores_gemma":[0.9969894,0.0008885964,0.0014506,0.0003229049,0.0003063264,0.00004220999],"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":[0.0001410112,0.001099876,0.02656179,0.0009108186,0.003586641,0.00002402618,0.4552886,0.01947918,0.0003119403,0.480725,0.001117574,0.0107535],"study_design_scores_gemma":[0.003644318,0.0007551591,0.06646066,0.004837922,0.00617475,0.00001479336,0.7943838,0.1007461,0.001076634,0.01954463,0.001634975,0.0007262105],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971781,0.0004239066,0.001010909,0.001067874,0.0001775029,0.0001757075,0.00001044178,0.00001627023,0.02533645],"genre_scores_gemma":[0.9972281,0.00006982335,0.002090755,0.0000972117,0.000061915,0.00000533339,0.000009632249,0.0000105234,0.0004266586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4611804,"threshold_uncertainty_score":0.4870586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805956976609867,"score_gpt":0.3377791611832958,"score_spread":0.2997195914171972,"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."}}