{"id":"W3025310473","doi":"10.1075/coll.57.11cor","title":"Sociolinguistic enregisterment through languagecultural practices","year":2020,"lang":"en","type":"book-chapter","venue":"Contact language library","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Indexicality; Carnivalesque; Linguistics; Sociolinguistics; Selection (genetic algorithm); Set (abstract data type); Sociology; Psychology; History; Geography; Art; Aesthetics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000145651,0.00034817,0.0004821562,0.00005427971,0.0003136955,0.0002462125,0.0005551794,0.0005169048,0.01260097],"category_scores_gemma":[0.001548739,0.0003252589,0.0002312547,0.000040554,0.0001879859,0.000350964,0.0001811046,0.0006000164,0.001041812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008901754,"about_ca_system_score_gemma":0.0005808995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000599328,"about_ca_topic_score_gemma":0.0001262598,"domain_scores_codex":[0.9981688,0.0001507699,0.0003910883,0.0005204153,0.0004135134,0.000355419],"domain_scores_gemma":[0.9980282,0.0003837243,0.0009598003,0.0003433921,0.00005858648,0.0002263288],"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":[0.00003327546,0.00001498681,0.00002359261,0.00005114789,0.00011695,0.001348281,0.06239497,5.903401e-8,0.00003520312,0.9022283,0.03301902,0.0007342424],"study_design_scores_gemma":[0.0003187444,0.00005696649,0.00002759828,0.00009473557,0.0001333825,0.000007899984,0.004746597,0.000001912969,0.00001800326,0.01180929,0.9823731,0.0004117982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007015889,0.003220309,0.00002767828,0.006372928,0.001544583,0.0004537985,0.000150002,0.000515054,0.9876455],"genre_scores_gemma":[0.06597341,0.0005876956,0.001115973,0.01217,0.008200548,0.00001786784,0.0008175849,0.0001087129,0.9110082],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9493541,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030388766828495,"score_gpt":0.3317323217417258,"score_spread":0.2814284340734409,"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."}}