{"id":"W2746830698","doi":"10.25071/2291-3637.40244","title":"\"Stepping up to the Call:\" A Historiographical Analysis of Gender in 1930s Soviet Russia","year":2017,"lang":"en","type":"article","venue":"HPS The Journal of History and Political Science","topic":"Historical Gender and Feminism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scholarship; Historiography; Gender history; Operationalization; Gender studies; Gender analysis; Sociology; Gender schema theory; Feminization (sociology); History; Political science; Law; Epistemology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001988823,0.0003101634,0.0002293162,0.002435243,0.006747182,0.004622148,0.0005381351,0.001190291,0.002093525],"category_scores_gemma":[0.003562429,0.0001625812,0.0002439926,0.002148267,0.01419276,0.00524665,0.002540244,0.002107541,0.0002065772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006056061,"about_ca_system_score_gemma":0.002570293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.017621,"about_ca_topic_score_gemma":0.02063695,"domain_scores_codex":[0.9984511,0.0009908259,0.00003545564,0.00008564378,0.0002263109,0.000210693],"domain_scores_gemma":[0.9992322,0.000484426,0.00008569353,0.0000340194,0.00009035051,0.00007349726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004889962,0.00001816984,0.00446018,0.0000607418,0.00000705113,0.0003255592,0.5117516,0.00009191931,0.0003804157,0.4376354,0.01531086,0.02990914],"study_design_scores_gemma":[0.000007787108,0.00007033836,0.0106054,0.0006860101,0.00001755414,0.0003413851,0.2670834,0.0001814717,0.001170086,0.0715561,0.6482483,0.00003225636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5312169,0.04412889,0.005994938,0.07419389,0.001780219,0.0000372297,0.0001999201,0.00008618127,0.3423618],"genre_scores_gemma":[0.9691839,0.007012523,0.0006543359,0.002902857,0.0003091872,0.00002828156,0.0000366667,0.00006364578,0.01980864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.017621,"threshold_uncertainty_score":0.04393995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07072815799595085,"score_gpt":0.3443866045888999,"score_spread":0.2736584465929491,"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."}}