{"id":"W2973212998","doi":"","title":"Different Englishes, different resources of contextualization: from the perspective of the ecology of communication","year":2008,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contextualization; Perspective (graphical); Ecology; Sociology; Communication; Linguistics; Biology; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002690565,0.000454204,0.000366924,0.00257212,0.005555989,0.01294198,0.000877822,0.001966866,0.002826844],"category_scores_gemma":[0.004251271,0.0003134096,0.0002026315,0.001525946,0.02982775,0.01214868,0.004835475,0.002141111,0.000360704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003132653,"about_ca_system_score_gemma":0.001928766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003896651,"about_ca_topic_score_gemma":0.003027367,"domain_scores_codex":[0.9958546,0.00312231,0.00007183748,0.0003766323,0.0002815884,0.0002931029],"domain_scores_gemma":[0.9962281,0.002610991,0.0003545216,0.000211581,0.0002700351,0.00032474],"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":[0.00004202485,0.00004428717,0.006200156,0.0001089408,0.00001141777,0.0008825546,0.1921995,0.0002305942,0.0005460577,0.7778975,0.001387387,0.0204495],"study_design_scores_gemma":[0.00002804237,0.0001044737,0.01754579,0.0005675722,0.00004336509,0.001552205,0.4079722,0.001855194,0.0008369312,0.3673447,0.2020977,0.00005184837],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3310844,0.0221013,0.05294548,0.05126165,0.0004676356,0.0001241922,0.0001636529,0.0001096436,0.541742],"genre_scores_gemma":[0.9879597,0.002649552,0.003659157,0.000839398,0.0001772655,0.00005855125,0.0000299668,0.00002363118,0.004602688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01294198,"threshold_uncertainty_score":0.0227291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860620792143309,"score_gpt":0.2591414928286327,"score_spread":0.2205352849071996,"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."}}