{"id":"W3132034114","doi":"10.17613/2pfby-d7f70","title":"Living Language, Resurgent Radio: A Survey of Indigenous Language Broadcasting Initiatives","year":2021,"lang":"en","type":"article","venue":"Humanities Commons CORE (Modern Language Association / Columbia University)","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Indigenous language; Indigenous; Computer science; Broadcasting (networking); Radio broadcasting; Conversation; Software-defined radio; Multimedia; Sociology; Linguistics; Telecommunications; Communication; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001165002,0.0002029569,0.0004991379,0.0002864956,0.001019033,0.00035806,0.0004727395,0.000227515,0.0007151684],"category_scores_gemma":[0.003362998,0.000317283,0.0001858703,0.0009031161,0.0002524241,0.0007194283,0.0002169349,0.000336584,0.00001453402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022642,"about_ca_system_score_gemma":0.0007685318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07027492,"about_ca_topic_score_gemma":0.5698049,"domain_scores_codex":[0.9965581,0.001279163,0.0003818358,0.0003775134,0.0007791638,0.000624283],"domain_scores_gemma":[0.995714,0.002536592,0.0005983507,0.0003668655,0.0006140096,0.0001702016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003003193,0.0003293567,0.3366498,0.00006571341,0.0002320851,0.0008208152,0.6500936,0.00001303972,0.0004620051,0.00152967,0.001061328,0.008712549],"study_design_scores_gemma":[0.0008876225,0.00009695116,0.4712549,0.0002657236,0.0001394426,0.000009561751,0.5217452,0.0001020758,0.0001361317,0.00008498976,0.004578954,0.0006984101],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865884,0.001090007,0.00006721674,0.00002324446,0.0003246088,0.0002524766,0.0006288326,0.000184479,0.1315452],"genre_scores_gemma":[0.971769,0.0001285222,0.0000770375,0.00009186838,0.0001811739,0.000002634803,0.0003117839,0.00003350609,0.02740447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.49953,"threshold_uncertainty_score":0.9999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589353507933511,"score_gpt":0.2678345519146225,"score_spread":0.2219410168352874,"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."}}