{"id":"W2971478392","doi":"10.1080/14616742.2019.1607764","title":"Trickle-down gender at the International Monetary Fund: the contradictions of “femina economica” in global capitalist governance","year":2019,"lang":"en","type":"article","venue":"International Feminist Journal of Politics","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"World Bank Group","keywords":"Gender mainstreaming; Corporate governance; Empowerment; Economics; Political science; Politics; Political economy; Equity (law); Sociology; Economic growth; Gender studies; Gender equality; Finance; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0113104,0.0004010396,0.0003382597,0.001441639,0.009655669,0.01248882,0.0006704176,0.003505813,0.003649682],"category_scores_gemma":[0.008851278,0.0002845795,0.0002237925,0.001422444,0.04510298,0.009229929,0.006202015,0.00478957,0.0003673349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007665541,"about_ca_system_score_gemma":0.003497931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006642843,"about_ca_topic_score_gemma":0.007199693,"domain_scores_codex":[0.9926432,0.005308412,0.00007000453,0.0004828558,0.0007266796,0.0007687812],"domain_scores_gemma":[0.9958634,0.003021802,0.0003475815,0.0002390643,0.000208622,0.0003194638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002097732,0.000009717362,0.0007092722,0.00003752543,0.000004335041,0.0001145604,0.09079529,0.00007288112,0.0001131725,0.881359,0.01013337,0.01662994],"study_design_scores_gemma":[0.00002119933,0.0000332595,0.003103695,0.0007433937,0.0000166941,0.0002018483,0.1298869,0.0002569295,0.0005055185,0.4294998,0.4356937,0.00003706899],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1875485,0.02842475,0.006368754,0.3794695,0.001975917,0.00002363919,0.00006818576,0.00005871666,0.3960621],"genre_scores_gemma":[0.9791654,0.002570294,0.0003996286,0.009999203,0.0004979316,0.00002497916,0.000009450074,0.00004721776,0.007285798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01248882,"threshold_uncertainty_score":0.05981582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093202220249012,"score_gpt":0.3219098173287925,"score_spread":0.2909777951263023,"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."}}