{"id":"W2912160609","doi":"10.1016/j.postcomstud.2019.01.001","title":"Fighting for the Soviet Union 2.0: Digital nostalgia and national belonging in the context of the Ukrainian crisis","year":2019,"lang":"en","type":"article","venue":"Communist and Post-Communist Studies","topic":"Memory, Trauma, and Commemoration","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arts and Humanities Research Council; Canadian Institute of Ukranian Studies, University of Alberta","keywords":"Ukrainian; Mythology; Narrative; Context (archaeology); Political science; Soviet union; Collective memory; Media studies; Order (exchange); Sociology; Social media; Political economy; Law; History; Politics; Literature; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001327308,0.0001836815,0.000274427,0.00005358808,0.001449659,0.000132316,0.0007092562,0.00006412483,0.00001634007],"category_scores_gemma":[0.0001550664,0.0001000497,0.00008493524,0.0001555833,0.000481574,0.0001216797,0.0004206117,0.0003781155,0.000003756967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001746714,"about_ca_system_score_gemma":0.0000222456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017302,"about_ca_topic_score_gemma":0.00125866,"domain_scores_codex":[0.9985952,0.0005412259,0.000339139,0.000138999,0.0001800872,0.0002053677],"domain_scores_gemma":[0.9956011,0.003222012,0.0001809262,0.0007750189,0.0002036937,0.00001731778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003798747,0.0004053376,0.06043709,0.0003339495,0.0007355272,0.000001353298,0.8188252,0.000007783024,0.0002372323,0.04935069,0.01054702,0.05873891],"study_design_scores_gemma":[0.002224738,0.0003712328,0.1900407,0.0002145622,0.00008987465,0.00003217561,0.7480413,0.0003223167,0.00004214681,0.001945644,0.05636317,0.0003121788],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428431,0.01077458,0.00001093076,0.02926086,0.000444448,0.0009462106,0.0001645638,0.00001889886,0.0155364],"genre_scores_gemma":[0.9973245,0.0003530012,0.00002456445,0.001831159,0.00004190897,0.00007562021,0.0000568725,0.00001513909,0.0002772342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296036,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04370837201172838,"score_gpt":0.3290003451245416,"score_spread":0.2852919731128132,"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."}}