{"id":"W2488817173","doi":"10.1075/ahs.4.02per","title":"Political perspectives on linguistic innovation in independent America","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in historical sociolinguistics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neologism; Politics; Linguistics; Lexis; Spelling; Subject (documents); Enthusiasm; Federalist; Focus (optics); Political science; History; Computer science; Library science; Philosophy; Law","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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007513725,0.0003608796,0.0005998883,0.0007055711,0.0001941149,0.00003138222,0.0003820412,0.0006271839,0.0002268544],"category_scores_gemma":[0.02399406,0.0004099705,0.00009424546,0.000344919,0.0005620029,0.00004798836,0.00005153748,0.001385021,0.0001189823],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01620401,"about_ca_system_score_gemma":0.001554082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157701,"about_ca_topic_score_gemma":0.000912128,"domain_scores_codex":[0.9967787,0.000134849,0.0009215175,0.000598804,0.0009040689,0.0006620991],"domain_scores_gemma":[0.9972738,0.0008082085,0.0004197029,0.0002947607,0.0009206737,0.0002828333],"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":[0.00003175826,0.0001461,0.0001254922,0.00002386754,0.000005411163,0.00003676723,0.03775888,0.00003815125,7.534662e-8,0.9562992,0.0007732416,0.00476105],"study_design_scores_gemma":[0.0001970395,0.00005971369,0.00001569974,0.0000965146,0.00001015835,3.221996e-7,0.002660829,0.00001729918,9.069927e-8,0.2719621,0.7246657,0.0003145201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00004441831,0.005641596,0.00008286843,0.0006784099,0.003671008,0.000315414,0.00002546556,0.00007679984,0.989464],"genre_scores_gemma":[0.5018365,0.005677536,0.002174064,0.001616064,0.01626687,0.000067742,0.0001217889,0.0001776747,0.4720617],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7238925,"threshold_uncertainty_score":0.9998352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09430811659751466,"score_gpt":0.454440918277958,"score_spread":0.3601328016804434,"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."}}