{"id":"W6996748605","doi":"","title":"Special Issue: Political and economic obstacles of minority language maintenance","year":2024,"lang":"en","type":"other","venue":"Publication Server of the Institute for German Language (Institute for German Language)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Ministry of Education and Science of the Russian Federation; University of Oklahoma; Syracuse University; Smithsonian Institution","keywords":"Minority language; Politics; Celtic languages; Minority rights; Language policy; Language politics; Minority group; Language barrier","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008772883,0.001079713,0.001516297,0.001013938,0.0001902479,0.0002455401,0.001976412,0.0007576604,0.001134385],"category_scores_gemma":[0.0004997472,0.0009214964,0.0009799232,0.0005424696,0.001555414,0.0008984073,0.0006524316,0.0005501818,0.0006429085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005926555,"about_ca_system_score_gemma":0.0005592377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009493259,"about_ca_topic_score_gemma":0.02085251,"domain_scores_codex":[0.9950619,0.000115909,0.001538465,0.00139638,0.0006831036,0.001204229],"domain_scores_gemma":[0.9950913,0.0001259319,0.001566689,0.002496803,0.0003143711,0.0004048737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001783711,0.0002113561,0.00005424993,0.004750832,0.0007109448,0.0000240237,0.004285884,0.00001269656,0.00171281,0.1584274,0.8275231,0.002108426],"study_design_scores_gemma":[0.002131022,0.00008155368,0.000298832,0.0008333817,0.0008165936,0.00007892482,0.0007498646,0.000194686,0.005079283,0.0004036944,0.9882905,0.001041625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1454697,0.01621723,0.0007398563,0.005246976,0.02133671,0.01907468,0.177037,0.002494993,0.6123828],"genre_scores_gemma":[0.07545676,0.00007986562,0.006198535,0.0008671145,0.02583813,0.001147288,0.01389997,0.001782221,0.8747301],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2623473,"threshold_uncertainty_score":0.9997787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507786307339674,"score_gpt":0.3056680139519718,"score_spread":0.290590150878575,"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."}}