{"id":"W2736467424","doi":"10.1093/acrefore/9780199384655.013.230","title":"Linguistic Landscape of Ethiopia","year":2017,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Linguistics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistic landscape; Linguistics; Language policy; Multilingualism; Sociolinguistics; Scholarship; Sociology; Politics; Context (archaeology); Federalism; Linguistic demography; Political science; Sociology of language; Social science; Geography; Language education; Law","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":[0.0008642594,0.000324806,0.0002089309,0.00274982,0.006117981,0.005814039,0.0004503285,0.0004454247,0.00820296],"category_scores_gemma":[0.0005401897,0.000149044,0.00009162252,0.002220474,0.003128896,0.001401688,0.002353372,0.0007123292,0.0005228534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231107,"about_ca_system_score_gemma":0.001823267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088074,"about_ca_topic_score_gemma":0.004844745,"domain_scores_codex":[0.9995477,0.0002222789,0.00002410665,0.00005120607,0.00004214696,0.0001125712],"domain_scores_gemma":[0.9997333,0.0001033397,0.0000485624,0.00001116832,0.00004787513,0.00005585252],"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":[0.0004423632,0.0001879916,0.03452959,0.002035483,0.00007178744,0.02230232,0.2869597,0.0008325523,0.01731561,0.3993463,0.01508539,0.2208909],"study_design_scores_gemma":[0.00002707804,0.0001121011,0.03071128,0.0009364652,0.00003806116,0.007672528,0.3277496,0.0003400658,0.001951327,0.0167289,0.613675,0.00005753946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7057958,0.01927479,0.001178968,0.01155642,0.0004991548,0.00006024619,0.0005024034,0.00004821341,0.2610839],"genre_scores_gemma":[0.9838513,0.003654276,0.0005936231,0.0007487067,0.0001107427,0.00002879421,0.00009709618,0.00001297183,0.01090268],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00820296,"threshold_uncertainty_score":0.02744168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650944983007979,"score_gpt":0.5127016026587784,"score_spread":0.3476071043579805,"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."}}