{"id":"W4396809084","doi":"10.3389/frsps.2024.1347054","title":"For the good of the party, for the good of the nation: ingroup projection can motivate support for political violence","year":2024,"lang":"en","type":"article","venue":"Frontiers in Social Psychology","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs; Simon Fraser University","keywords":"Politics; Ingroups and outgroups; Political science; Projection (relational algebra); Psychology; Social psychology; Criminology; Law; Computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001824903,0.000252702,0.0002339138,0.0006417108,0.001913628,0.002347415,0.0003685466,0.0007441176,0.004154069],"category_scores_gemma":[0.007876617,0.0002604592,0.0002753403,0.0005192041,0.002337243,0.0009975034,0.002351869,0.001586269,0.0002329956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006833836,"about_ca_system_score_gemma":0.00102317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322274,"about_ca_topic_score_gemma":0.009175971,"domain_scores_codex":[0.9985386,0.000906229,0.00003539908,0.0001393667,0.0001454848,0.0002349816],"domain_scores_gemma":[0.9947159,0.002021468,0.001623312,0.0003882069,0.0002154216,0.001035675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002751832,0.001408168,0.9368016,0.00007175448,0.0001302846,0.0002412887,0.0235069,0.0002507756,0.001556088,0.009687752,0.0009517054,0.02511859],"study_design_scores_gemma":[0.00001799306,0.00009782216,0.9742464,0.00004894194,0.00003953647,0.00008232849,0.01966347,0.0005512584,0.0002745783,0.003849889,0.001115565,0.00001235279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945059,0.00007643807,0.0001691048,0.0007922043,0.000009236382,0.00000654317,0.0000118916,0.000002172469,0.004426477],"genre_scores_gemma":[0.9996259,0.00004602128,0.00008377241,0.00007470774,0.000005598989,0.000005556604,0.00001054911,0.000001005359,0.000146809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004322274,"threshold_uncertainty_score":0.0138967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07575125635053971,"score_gpt":0.43207017890067,"score_spread":0.3563189225501303,"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."}}