{"id":"W4383164038","doi":"10.3390/socsci12070391","title":"Competing Historical Narratives: Memory Politics, Identity, and Democracy in Germany and Poland","year":2023,"lang":"en","type":"article","venue":"Social Sciences","topic":"Memory, Trauma, and Commemoration","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Hyderabad Eye Research Foundation","keywords":"Collective memory; Politics; Narrative; Democracy; Sociology; Sovereignty; National identity; Politics of memory; Nationalism; Liberalism; Political economy; Gender studies; Law; Political science; Literature","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000744479,0.00007015333,0.0001261334,0.0001317334,0.0006791509,0.00008246596,0.0001158137,0.00005779733,0.0000593302],"category_scores_gemma":[0.00004366539,0.00006683238,0.00001714905,0.0004249158,0.0003438803,0.0002269501,0.0000570392,0.0001004411,0.00002792508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000582364,"about_ca_system_score_gemma":0.00003248842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008254277,"about_ca_topic_score_gemma":0.0007996775,"domain_scores_codex":[0.9990117,0.0001643515,0.0001547721,0.0002314019,0.0001809715,0.0002567923],"domain_scores_gemma":[0.9997303,0.0001073679,0.00005372477,0.00004448107,0.00001700527,0.00004709921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002609837,0.0001603821,0.398325,0.00006838678,0.0000281375,0.00007008877,0.3775657,0.000002094354,0.001498885,0.1855324,0.01303582,0.02368694],"study_design_scores_gemma":[0.0005059175,0.00007161747,0.8588804,0.00001323723,0.000006250251,0.000008648043,0.07319909,0.0001030538,0.000008786646,0.06524811,0.001762735,0.0001921362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676891,0.0003317051,0.00001624721,0.005223253,0.0005504507,0.00007772916,0.00000181145,0.00004128977,0.0260684],"genre_scores_gemma":[0.9985797,0.00002134036,0.0000505229,0.0002063945,0.0002930799,0.000004991714,0.000001358291,0.000003879657,0.0008387098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4605554,"threshold_uncertainty_score":0.5223548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08010300379193958,"score_gpt":0.3848800118820353,"score_spread":0.3047770080900957,"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."}}