{"id":"W4376278569","doi":"10.1007/s10993-023-09656-5","title":"“What is language for us?”: Community-based Anishinaabemowin language planning using TEK-nology","year":2023,"lang":"en","type":"article","venue":"Language Policy","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; International Research Foundation for English Language Education; McGill University","keywords":"Indigenous language; Language revitalization; Language policy; Language planning; Indigenous; Multilingualism; Language industry; Sociology; Public relations; Language education; Political science; Pedagogy; Comprehension approach","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001280709,0.0002348651,0.0003065907,0.0004805161,0.00115749,0.0003169948,0.0006294292,0.0002597868,0.0003847015],"category_scores_gemma":[0.001300635,0.0002478336,0.0001682231,0.001165578,0.0002568037,0.0003321976,0.0001021271,0.000421608,0.0001958374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251646,"about_ca_system_score_gemma":0.0007835786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09857485,"about_ca_topic_score_gemma":0.003908805,"domain_scores_codex":[0.9975589,0.0006603625,0.0003038523,0.0002777694,0.0002947801,0.0009043508],"domain_scores_gemma":[0.9981371,0.0007870213,0.0001564368,0.0005702467,0.00007983449,0.0002693644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002789389,0.00009717727,0.001121921,0.0001178842,0.00003304839,0.00003430605,0.9669197,0.00009860508,0.007084653,0.003222893,0.004172287,0.01706969],"study_design_scores_gemma":[0.001407836,0.00008811153,0.001826845,0.0001851895,0.00005093775,0.000006743711,0.8432385,0.002203146,0.007938934,0.000453539,0.1419326,0.0006675966],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821371,0.0006378844,0.00007086472,0.007163105,0.0006970217,0.0005050623,0.0001620133,0.0005752512,0.008051718],"genre_scores_gemma":[0.9655645,0.00004580932,0.001240298,0.01881123,0.002531189,0.00005994361,0.0003040311,0.000074011,0.01136898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1377603,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1454886187990576,"score_gpt":0.5393946810784613,"score_spread":0.3939060622794037,"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."}}