{"id":"W2107819160","doi":"10.7939/r3j679027","title":"Language Loss and Linguistic Suicide: A Case Study from the Sierra Norte De Puebla, Mexico","year":2008,"lang":"en","type":"article","venue":"","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prestige; Linguistics; Fluency; Term (time); Psychology; Minority language","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":[0.0006226636,0.0004233069,0.0003319134,0.001123036,0.009877668,0.001392593,0.001164043,0.001997687,0.002158255],"category_scores_gemma":[0.002846662,0.0002540922,0.0002548059,0.0008401974,0.002504404,0.0008421054,0.002808848,0.001694108,0.0001137179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003828717,"about_ca_system_score_gemma":0.001979063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1099461,"about_ca_topic_score_gemma":0.2560087,"domain_scores_codex":[0.9994955,0.0002099475,0.00001903775,0.00004085745,0.00006610798,0.0001684755],"domain_scores_gemma":[0.9994224,0.0002378612,0.0001507053,0.00002678476,0.00005146047,0.0001107763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001440866,0.0005138803,0.1176977,0.0004563856,0.00007205515,0.2177923,0.6177575,0.0005071597,0.001083132,0.00592392,0.0045371,0.03351485],"study_design_scores_gemma":[0.00002402658,0.0001901186,0.0722927,0.0003583313,0.00005132445,0.04044107,0.8585759,0.0004091347,0.0004433333,0.0008529572,0.0263264,0.0000346566],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946387,0.0005395277,0.0001787676,0.001452616,0.00001916674,0.00002919592,0.0000366274,0.000004867862,0.003100372],"genre_scores_gemma":[0.9955007,0.001231442,0.0003613807,0.0004116735,0.00002181542,0.00004587916,0.00003667068,0.000007186528,0.002383241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099461,"threshold_uncertainty_score":0.2186124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09160136504800247,"score_gpt":0.4607920730512489,"score_spread":0.3691907080032464,"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."}}