{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001707446,0.00006897625,0.0001227784,0.00005317641,0.0008864445,0.0000191846,0.0001421241,0.00006567312,0.00003265909],"category_scores_gemma":[0.0008095995,0.00003764336,0.00003604537,0.0004501351,0.0008161058,0.00007595646,0.00003977636,0.0002166062,6.554855e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005471602,"about_ca_system_score_gemma":0.0001439666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002500289,"about_ca_topic_score_gemma":0.01143341,"domain_scores_codex":[0.9984627,0.0006632462,0.0001901902,0.0001587669,0.0003883154,0.0001367893],"domain_scores_gemma":[0.9983511,0.001147887,0.00006847498,0.00008642545,0.0003260697,0.00002006988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004937797,0.0001051633,0.001795874,0.00004610816,0.00003220196,0.000004867939,0.09197541,0.00002725745,0.00001348162,0.8981972,0.003929554,0.003823553],"study_design_scores_gemma":[0.003077669,0.00005337131,0.451506,0.000269925,0.00009561445,0.00002409351,0.2581196,0.0004626982,0.00001249867,0.09590772,0.190175,0.0002958307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1674516,0.4444082,0.0008558413,0.3398958,0.001170866,0.006107192,0.002022997,0.00005950397,0.03802802],"genre_scores_gemma":[0.9899918,0.008416224,0.0001283246,0.000452947,0.00007369235,0.0001824332,0.00004452775,0.000003842007,0.0007061718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8225403,"threshold_uncertainty_score":0.6817904,"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."}}