{"id":"W2727997133","doi":"10.1017/cnj.2017.29","title":"Using comparative sociolinguistics to inform European minority language policies: Evidence from contemporary Picard and regional French","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Linguistics / La revue canadienne de linguistique","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Linguistics; Sociolinguistics; Grammar; Context (archaeology); Sociology; History; Philosophy","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.004051719,0.0002428074,0.0004829415,0.0002325255,0.002813373,0.0005916203,0.001261284,0.0002042982,0.00003301028],"category_scores_gemma":[0.1222509,0.0002312965,0.0001153515,0.0001375846,0.001206299,0.00004463741,0.00008935825,0.0007351187,0.00000621121],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009417557,"about_ca_system_score_gemma":0.006167707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7853882,"about_ca_topic_score_gemma":0.9014519,"domain_scores_codex":[0.9974853,0.0006601706,0.0006716309,0.0002529612,0.000200943,0.0007289603],"domain_scores_gemma":[0.9927192,0.001376158,0.0009579613,0.0005607772,0.002511778,0.00187418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006165685,0.00002323165,0.06297876,0.00005707466,0.0002318509,0.003535247,0.6387955,0.000275454,0.00009465202,0.2873005,0.006369465,0.0002765741],"study_design_scores_gemma":[0.0008072314,0.0001859928,0.1198821,0.001099616,0.0003044634,0.0001887162,0.01641336,0.000714088,0.00003206678,0.01791369,0.8416552,0.0008035221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8367776,0.001875669,0.001143061,0.007983264,0.005822301,0.0005387096,0.0003784097,0.00003458322,0.1454464],"genre_scores_gemma":[0.9826037,0.00003856403,0.006322512,0.0009756266,0.009552309,0.000002022429,0.000007016889,0.00002479975,0.0004734004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8352857,"threshold_uncertainty_score":0.9994664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1525792210586983,"score_gpt":0.3805512225324866,"score_spread":0.2279720014737882,"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."}}