{"id":"W2136799686","doi":"10.1177/0160017610375443","title":"The Spatiality and Cost of Language Identity","year":2010,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Identity (music); Sociology; Social identity approach; Government (linguistics); Social identity theory; sort; Census; Social capital; Econometrics; Geography; Economics; Social group; Public economics; Social science; Linguistics; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00125803,0.0001560347,0.000351145,0.00148008,0.001295426,0.002690466,0.0007172275,0.0005051271,0.006251725],"category_scores_gemma":[0.01224287,0.0002089315,0.0002925754,0.002167797,0.003501382,0.002138199,0.002825887,0.0004891094,0.0003338238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002558396,"about_ca_system_score_gemma":0.001150052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416901,"about_ca_topic_score_gemma":0.02233632,"domain_scores_codex":[0.9979402,0.0008583936,0.0001048849,0.0002200758,0.0006107931,0.0002655849],"domain_scores_gemma":[0.9942163,0.002350201,0.001392599,0.001026855,0.0006866499,0.0003272612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006552743,0.0002448051,0.4448597,0.0003755807,0.0002489714,0.001639124,0.007937699,0.01265101,0.005527346,0.3665753,0.002172517,0.1571127],"study_design_scores_gemma":[0.00007788853,0.0004001905,0.6278984,0.0001884082,0.000287844,0.004034318,0.02931918,0.01588222,0.003398307,0.2886021,0.02981042,0.000100706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556181,0.0008711359,0.004186068,0.001517887,0.00001850265,0.00001409555,0.0001817596,0.00002205528,0.03757032],"genre_scores_gemma":[0.9986494,0.0001272863,0.0003663836,0.0000183995,0.000008877482,0.000004445564,0.00003196931,0.000003512849,0.0007896056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01416901,"threshold_uncertainty_score":0.02817309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400603884897807,"score_gpt":0.4238695841107067,"score_spread":0.3798635452617286,"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."}}