{"id":"W3131506462","doi":"","title":"Gender-based analyisis plus (GBA+) and Intersectionality: Overview, an enhanced framework, and B.C. Case Study","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersectionality; Operationalization; Heteronormativity; Ableism; Context (archaeology); Government (linguistics); Poverty; Sociology; Inclusion (mineral); Oppression; Political science; Capability approach; Gender studies; Public relations; Queer; Politics; Geography; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005663602,0.0008063902,0.0007655147,0.00484193,0.013356,0.007643313,0.001999738,0.002161043,0.006976539],"category_scores_gemma":[0.004237448,0.0003928759,0.000663339,0.008735667,0.0115101,0.003625927,0.006177941,0.002582492,0.0007817377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02315844,"about_ca_system_score_gemma":0.01217695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4387584,"about_ca_topic_score_gemma":0.5340066,"domain_scores_codex":[0.9953167,0.002799094,0.0001283208,0.0003443953,0.0007650474,0.0006464477],"domain_scores_gemma":[0.997783,0.001167513,0.0001381631,0.0002604018,0.0004495042,0.0002013759],"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":[0.00006707673,0.0001136836,0.01089703,0.000495378,0.00001745924,0.002817191,0.2010911,0.001137167,0.001329148,0.6815931,0.01641058,0.08403112],"study_design_scores_gemma":[0.00001071508,0.00004454834,0.01102865,0.001300107,0.00003514005,0.00148958,0.3434195,0.002521408,0.001727503,0.06608717,0.572244,0.00009166697],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2959419,0.008790424,0.0765342,0.01687399,0.000394997,0.001443617,0.002175279,0.0004048145,0.5974408],"genre_scores_gemma":[0.8667067,0.005052144,0.07919119,0.001615478,0.0000643769,0.001673138,0.0005956835,0.0002132502,0.04488805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5612416,"threshold_uncertainty_score":0.872409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045897700024124,"score_gpt":0.3382590208560707,"score_spread":0.2336692508536584,"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."}}