{"id":"W3215197139","doi":"10.1111/nana.12783","title":"“All the nightmare images of ethnic conflict in the twentieth century are here”: Erroneous statistical proofs and the search for ethnic violence in revolutionary Ireland, 1917–1923","year":2021,"lang":"en","type":"article","venue":"Nations and Nationalism","topic":"Vietnamese History and Culture Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Irish; Argument (complex analysis); Mathematical proof; Nationalism; Ethnic conflict; Ethnic Cleansing; Sociology; Ethnic nationalism; Nightmare; Law; Political science; Psychology; Philosophy; Politics; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01836895,0.0001878434,0.0002197869,0.002541992,0.004963145,0.004447172,0.001080286,0.001386279,0.003230392],"category_scores_gemma":[0.07487062,0.0002222302,0.0001449805,0.002009898,0.02889738,0.003464834,0.002304251,0.003923908,0.0001713798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005184865,"about_ca_system_score_gemma":0.002704765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02942445,"about_ca_topic_score_gemma":0.02711819,"domain_scores_codex":[0.9922194,0.005616065,0.000289405,0.0004922273,0.001022879,0.0003599265],"domain_scores_gemma":[0.9085674,0.06724948,0.01223185,0.004148698,0.006938297,0.0008642421],"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":[0.0001577985,0.0000468582,0.04270891,0.0001903654,0.00005184624,0.001451827,0.2282598,0.0004645427,0.0002820519,0.6405865,0.04130095,0.04449847],"study_design_scores_gemma":[0.00003729674,0.00009569222,0.0737149,0.002102389,0.00006018496,0.001673973,0.3844212,0.00231539,0.00319429,0.2351651,0.2970671,0.0001523894],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6430522,0.01176603,0.008150912,0.2417215,0.002014877,0.00003348835,0.0003496342,0.00005515433,0.09285624],"genre_scores_gemma":[0.9941095,0.0009612628,0.0005473186,0.002619581,0.0002381056,0.000007145528,0.00002428204,0.00001607399,0.001476814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9950368,"threshold_uncertainty_score":0.09714544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562529009091419,"score_gpt":0.35425523494,"score_spread":0.3086299448490858,"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."}}