{"id":"W3036744679","doi":"10.4324/9781315669816.ch31","title":"Minority Languages and Group Identity","year":2010,"lang":"en","type":"article","venue":"International Microsystems, Packaging, Assembly and Circuits Technology Conference","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Identity (music); Linguistics; Politics; Computer science; Sociology; Political science; Law; Aesthetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008452974,0.0002216208,0.0002220005,0.0005419478,0.005190038,0.00493554,0.0006937687,0.001197658,0.006571225],"category_scores_gemma":[0.001772361,0.00009332143,0.0001702374,0.0007191559,0.008198485,0.003798847,0.004045585,0.001707186,0.0005753789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210564,"about_ca_system_score_gemma":0.001365077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004058333,"about_ca_topic_score_gemma":0.005697324,"domain_scores_codex":[0.9987754,0.0006753271,0.00002020461,0.00007313051,0.0002273845,0.0002284783],"domain_scores_gemma":[0.9994237,0.0003109037,0.00007668402,0.0000340051,0.00004616343,0.0001084898],"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":[0.00001081423,0.00001971823,0.0006894107,0.0000390934,0.00000157488,0.000093287,0.03887526,0.0000470246,0.00007196688,0.941521,0.008286566,0.01034417],"study_design_scores_gemma":[0.00001235617,0.00006054691,0.003168808,0.0003044277,0.000004866814,0.0003297627,0.06985499,0.00027894,0.0002164366,0.2321792,0.6935784,0.00001134116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06918056,0.01335456,0.002150999,0.02345854,0.0007254015,0.00004146485,0.00002567681,0.0000216404,0.8910412],"genre_scores_gemma":[0.851078,0.008316886,0.0009299892,0.003729708,0.0006426289,0.00007103702,0.00003640513,0.00003169047,0.1351637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006571225,"threshold_uncertainty_score":0.02198297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645263440236866,"score_gpt":0.409634096041192,"score_spread":0.3831814616388233,"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."}}