{"id":"W2753609859","doi":"10.1111/lnc3.12250","title":"Contextualizing language attitudes: An interactional perspective","year":2017,"lang":"en","type":"article","venue":"Language and Linguistics Compass","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Perspective (graphical); Sociolinguistics; Field (mathematics); Linguistics; Psychology; Sociology; Epistemology; Computer science; Artificial intelligence","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001736141,0.0001819829,0.0002271197,0.0000691024,0.001122713,0.001340378,0.0005040567,0.00004165932,0.0009993267],"category_scores_gemma":[0.000737011,0.0001600971,0.00005554319,0.000009848583,0.0004888686,0.0001913668,0.0001724859,0.0002557728,0.00004996848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003983134,"about_ca_system_score_gemma":0.00003913901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005700751,"about_ca_topic_score_gemma":0.01055124,"domain_scores_codex":[0.9990905,0.00006947472,0.0002014482,0.0002545728,0.0001733341,0.0002106979],"domain_scores_gemma":[0.9984406,0.0001397493,0.0002044005,0.0008038541,0.0003128359,0.00009859281],"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":[0.00001929192,0.00009144237,0.0003685636,0.00001839138,0.00005924638,0.00005568046,0.2022081,0.000001405098,0.00009179903,0.7957579,0.0005840442,0.0007441514],"study_design_scores_gemma":[0.0009966273,0.0001336477,0.004523156,0.0001620536,0.000101238,0.00001933799,0.8702969,0.0006143459,0.0002158768,0.0046803,0.117628,0.0006285445],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.26916,0.002202857,0.00008574995,0.000419183,0.001235163,0.0001831183,0.000162645,0.0002061908,0.7263451],"genre_scores_gemma":[0.9931068,0.00002002551,0.0004207608,0.0002691318,0.002468026,0.00001203963,0.00006866656,0.00002572534,0.003608809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7910776,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06733571272367891,"score_gpt":0.3812862073215135,"score_spread":0.3139504945978346,"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."}}