{"id":"W2888149020","doi":"10.1093/pa/gsy032","title":"Political Staff and the Gendered Division of Political Labour in Canada","year":2018,"lang":"en","type":"article","venue":"Parliamentary Affairs","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Politics; House of Commons; Parliament; Work (physics); Variety (cybernetics); Political science; Public administration; Sociology; Division of labour; Affect (linguistics); Political economy; Law","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":[0.004755261,0.0002414134,0.0006286788,0.003021884,0.02089561,0.005474423,0.001527967,0.0009076565,0.008933411],"category_scores_gemma":[0.011195,0.0003494732,0.0002999439,0.00598464,0.00676995,0.0009019846,0.003628731,0.001634491,0.0004267506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1190102,"about_ca_system_score_gemma":0.1439061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925177,"about_ca_topic_score_gemma":0.9978015,"domain_scores_codex":[0.9911856,0.001405654,0.0001671808,0.0007647627,0.002620296,0.003856507],"domain_scores_gemma":[0.9882739,0.002090615,0.001527302,0.0003126741,0.002670945,0.005124645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004110067,0.000160495,0.5626775,0.0003238951,0.00009390741,0.0005605815,0.2599442,0.0006053966,0.001112298,0.05351252,0.03296807,0.08763012],"study_design_scores_gemma":[0.000038057,0.0000590196,0.6980589,0.0005051106,0.00004212265,0.00008896553,0.2131829,0.0007000585,0.0003886533,0.002641172,0.08420487,0.00009023322],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336601,0.001624252,0.0004988995,0.009922331,0.0001726774,0.00006985851,0.0008940874,0.00002237229,0.05313554],"genre_scores_gemma":[0.9921618,0.0003113473,0.000147681,0.0004598373,0.00001581526,0.00002009863,0.0001132477,0.00001336227,0.006756804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8809898,"threshold_uncertainty_score":0.8634837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929826906323828,"score_gpt":0.2883032410817056,"score_spread":0.2690049720184673,"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."}}