{"id":"W2025260316","doi":"10.1007/s10993-010-9179-y","title":"Identity, language, and new media: the Kurdish case","year":2010,"lang":"en","type":"article","venue":"Language Policy","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Sociology; Sociolinguistics; Identity (music); The Internet; Cultural identity; Salient; Discourse analysis; Media studies; Linguistics; Social science; Political science; Computer science; World Wide Web","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":[0.002726494,0.0005991766,0.0006702802,0.001527041,0.02404338,0.01160823,0.001207895,0.005318405,0.01078142],"category_scores_gemma":[0.003766063,0.0003909749,0.0003575962,0.001752838,0.02060932,0.007673902,0.01026972,0.006267734,0.0005715273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004879674,"about_ca_system_score_gemma":0.003394402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502736,"about_ca_topic_score_gemma":0.03565124,"domain_scores_codex":[0.9960114,0.001675938,0.00005524242,0.0001336221,0.000155655,0.001968233],"domain_scores_gemma":[0.9971517,0.001495704,0.0003449985,0.0001543419,0.0001436835,0.0007095026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002301206,0.0004188107,0.008510374,0.00005571012,0.00002226498,0.005716134,0.07192183,0.0003586448,0.0003016173,0.9006586,0.003457399,0.008348538],"study_design_scores_gemma":[0.0003172081,0.0002410929,0.0129187,0.0004637836,0.0001248863,0.003706988,0.7441537,0.002016301,0.001008181,0.153556,0.0813347,0.0001585074],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248144,0.0007844026,0.0005204934,0.02098623,0.00008855211,0.00003749551,0.00003663297,0.00001244944,0.1527193],"genre_scores_gemma":[0.9956696,0.0001789552,0.00005313838,0.0007273193,0.00001717935,0.00002523434,0.000003890538,0.000004101286,0.003320527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02502736,"threshold_uncertainty_score":0.04976338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461525321908059,"score_gpt":0.3691611497988721,"score_spread":0.3445458965797915,"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."}}