{"id":"W2784324061","doi":"10.1017/s1743923x17000526","title":"Stories from the Front Lines: Making Sense of Gender Mainstreaming in Canada","year":2018,"lang":"en","type":"article","venue":"Politics & Gender","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Gender mainstreaming; Mainstreaming; Narrative; Technocracy; Political science; Gender studies; Politics; Resistance (ecology); Work (physics); Mainstream; Sociology; Public relations; Public administration; Gender equality; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002668307,0.0001070683,0.0001431597,0.00004112676,0.000315077,0.00003697205,0.0001801765,0.00006311232,0.0001403924],"category_scores_gemma":[0.0001834045,0.0000866944,0.00004053834,0.0001144455,0.0002966383,0.00006035817,0.00006210539,0.000111798,0.000005853567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005657402,"about_ca_system_score_gemma":0.00215161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9760976,"about_ca_topic_score_gemma":0.9592899,"domain_scores_codex":[0.9983624,0.0001950441,0.000282625,0.0001908125,0.0004626278,0.0005064592],"domain_scores_gemma":[0.9991071,0.0002704444,0.0001029666,0.0002500854,0.0001779171,0.00009148297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008272563,0.00005077687,0.4035495,0.00002818864,0.0001091578,0.00002547077,0.3484924,0.00009873752,0.0001594755,0.2426043,0.00414704,0.0007267829],"study_design_scores_gemma":[0.000457116,0.00001442698,0.3629199,0.00003675138,0.00006334805,0.00000280683,0.5379328,0.000797084,0.001045562,0.06428938,0.03207769,0.000363188],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524472,0.0002614777,0.0004103257,0.0007322613,0.00102156,0.0001553093,0.000110291,0.00001360267,0.04484802],"genre_scores_gemma":[0.997319,0.00002165925,0.0004007738,0.0007552484,0.001105818,0.000004074165,0.000008850365,0.00001301073,0.0003715919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1894404,"threshold_uncertainty_score":0.3816863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08222544578080214,"score_gpt":0.3449201159745044,"score_spread":0.2626946701937023,"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."}}