{"id":"W1608081075","doi":"10.55870/tgv.v32i2-3.3538","title":"Jämställdhet, meritokrati och kvalitet - Ett triangeldrama i den akademiska vardagen","year":2011,"lang":"en","type":"article","venue":"Tidskrift för genusvetenskap","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge; International Development Research Centre","keywords":"Gender equality; Politics; Gender studies; Economic Justice; Sociology; Discipline; Confusion; Doing gender; Political science; Field (mathematics); Social science; Psychology; Law","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002169256,0.0003364644,0.0004738455,0.0001532068,0.001133495,0.0001334746,0.001015861,0.000464591,0.00528414],"category_scores_gemma":[0.0004805126,0.0003533681,0.0003138472,0.0005631093,0.0005070503,0.0005646631,0.0002216731,0.0004356478,0.001996372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283785,"about_ca_system_score_gemma":0.0003432164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100341,"about_ca_topic_score_gemma":0.001011521,"domain_scores_codex":[0.9959912,0.0008996566,0.000513641,0.0006775885,0.0008940991,0.001023859],"domain_scores_gemma":[0.9981118,0.000152448,0.0002207833,0.0006955868,0.0002785962,0.0005408039],"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":[0.0005414375,0.001046875,0.073112,0.0001829993,0.0009957086,0.0004487403,0.5063071,0.000007037871,0.0032969,0.09095723,0.2946021,0.02850192],"study_design_scores_gemma":[0.001361092,0.0002263794,0.03945196,0.00003611351,0.0002984515,0.00001383373,0.02501429,0.00002195489,0.001723881,0.006208666,0.9245351,0.001108296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3738287,0.00114709,0.0005959784,0.001818264,0.00220793,0.0009159335,0.0001559419,0.0006336906,0.6186965],"genre_scores_gemma":[0.9787152,0.0002076497,0.002577879,0.001643773,0.001120636,0.00002592808,0.0000371782,0.00004139051,0.01563032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.629933,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2232331559854564,"score_gpt":0.3134487398000289,"score_spread":0.09021558381457245,"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."}}