{"id":"W1497714684","doi":"10.7202/1064007ar","title":"The entitled nation: how people make themselves white in contemporary England","year":2010,"lang":"en","type":"article","venue":"Sens public","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"St. George's, University of London","keywords":"Entitlement (fair division); White (mutation); Feeling; Ethnic group; Sociology; White British; Racial hierarchy; Immigration; Race (biology); Gender studies; Hierarchy; Cultural capital; The Imaginary; Capital (architecture); Social psychology; Political science; Social science; Psychology; Geography; Law; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00373991,0.000368893,0.0005333282,0.0009537917,0.01627054,0.007198008,0.00083838,0.00177733,0.004886639],"category_scores_gemma":[0.00362703,0.0004668921,0.000216182,0.0008029072,0.0112751,0.006313805,0.007350473,0.002905298,0.0004843301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004401233,"about_ca_system_score_gemma":0.003017502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07913487,"about_ca_topic_score_gemma":0.1591938,"domain_scores_codex":[0.9968797,0.001840962,0.0001041787,0.0002469984,0.0003142175,0.0006139099],"domain_scores_gemma":[0.9983987,0.0006473638,0.0002620105,0.00006267332,0.0001429237,0.0004863957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001007872,0.00000992494,0.00157322,0.00002364873,0.000001968005,0.0003061174,0.9936501,0.000003278565,0.0001651879,0.002219031,0.0005823992,0.001455047],"study_design_scores_gemma":[0.000001700388,0.00001702838,0.004739897,0.00007540118,0.000003564066,0.0001902792,0.9682398,0.000009062826,0.00004453339,0.000485615,0.02618246,0.00001070374],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485916,0.003154783,0.0002806643,0.01083232,0.0004220349,0.0000210112,0.00003746533,0.0000118905,0.03664832],"genre_scores_gemma":[0.9752268,0.001823198,0.0001229146,0.00274904,0.00006014836,0.00003085101,0.00002350489,0.00002838331,0.01993528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07913487,"threshold_uncertainty_score":0.1573485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116008968997881,"score_gpt":0.2743083480772328,"score_spread":0.243148258387254,"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."}}