{"id":"W7042729356","doi":"","title":"Prix national d'excellence, Association canadienne de linguistique National Achievement Award, Canadian Linguistic Association 2019","year":2019,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Association (psychology); Discourse analysis; Language planning; National identity; Semantics (computer science); National curriculum; National language; Ethnic group; Period (music); Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001838945,0.0004159962,0.0004098904,0.006684868,0.001105978,0.0004459774,0.0005620742,0.0004977453,0.001032736],"category_scores_gemma":[0.01697811,0.0005713409,0.0002741652,0.00138929,0.0001012646,0.000400336,0.0001731683,0.0006818277,0.0008054263],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.03304381,"about_ca_system_score_gemma":0.008810821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803175,"about_ca_topic_score_gemma":0.9799396,"domain_scores_codex":[0.9961107,0.0003469844,0.0003999064,0.000655778,0.001049741,0.001436897],"domain_scores_gemma":[0.9891319,0.0004337625,0.0006149056,0.0002310272,0.009111522,0.0004768327],"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":[0.0001530469,0.001045722,0.2734346,0.0006598589,0.001958961,0.0003823876,0.133291,0.0005959307,0.000001643458,0.4010438,0.186964,0.0004690599],"study_design_scores_gemma":[0.001095111,0.0001123388,0.002413029,0.0001480093,0.00029947,9.632367e-7,0.003193554,0.0008497466,0.000009191233,0.0001078521,0.9911385,0.0006321996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0883896,0.00006158176,0.00004200214,0.001443945,0.03557907,0.001102505,0.005427038,0.0001578198,0.8677964],"genre_scores_gemma":[0.7897195,0.02964953,0.0004866727,0.001512769,0.03097093,0.000006541197,0.001477136,0.0001175052,0.1460594],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8041745,"threshold_uncertainty_score":0.9999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168344640882008,"score_gpt":0.2140978077996155,"score_spread":0.2024143613907954,"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."}}