{"id":"W4389487481","doi":"10.1353/lan.2023.a914199","title":"Linguist is as Linguist Does: A Comparative Study on the Employment and Income of Graduates from Linguistics Programs in Canada","year":2023,"lang":"en","type":"article","venue":"Language","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Applied linguistics; Quantitative linguistics; Linguistics; Corpus linguistics; Earnings; Theoretical linguistics; Point (geometry); Systemic functional linguistics; Sociology; Career path; Psychology; Political science; Business; Economics; Management; Accounting; Mathematics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001616626,0.0001634859,0.0004157969,0.002328567,0.01289153,0.003426839,0.001208081,0.0005637833,0.003829828],"category_scores_gemma":[0.004730814,0.0002420911,0.0002184744,0.004956666,0.002478446,0.0009490805,0.002582229,0.001386674,0.0003268104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03563758,"about_ca_system_score_gemma":0.07917347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9835872,"about_ca_topic_score_gemma":0.9954575,"domain_scores_codex":[0.9974953,0.0002323744,0.00004986493,0.0001474929,0.0007622876,0.001312765],"domain_scores_gemma":[0.9948891,0.00057748,0.0005703107,0.00008267433,0.001473219,0.002407174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000151118,0.0002018244,0.729201,0.0001135294,0.0000326485,0.0007476315,0.2096828,0.0001119837,0.0005530334,0.006167704,0.00777766,0.04525921],"study_design_scores_gemma":[0.000004857742,0.00004098519,0.7018194,0.0001173747,0.00001047505,0.00009716439,0.2826551,0.0001277694,0.00008573223,0.0001101179,0.01490926,0.00002184355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914301,0.0003438887,0.00003301624,0.001570299,0.00001789967,0.00001171438,0.000238318,0.000002704148,0.006352117],"genre_scores_gemma":[0.9957436,0.0005495298,0.00005723136,0.0002941845,0.000007146409,0.000007232931,0.0001658469,0.000005026122,0.003170291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03563758,"threshold_uncertainty_score":0.2585699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205376985067624,"score_gpt":0.4521634021434534,"score_spread":0.331625703636691,"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."}}