{"id":"W2117818472","doi":"10.7202/1006346ar","title":"Exploring the Career Pipeline: Gender Differences in Pre-Career Expectations","year":2011,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Guelph; Dalhousie University; Carleton University","funders":"","keywords":"Salary; Promotion (chess); Preference; Career development; Perspective (graphical); Psychological intervention; Equity (law); Demographic economics; Psychology; Social psychology; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004086132,0.00008631367,0.0000923833,0.0001093948,0.0008464854,0.0000451044,0.0003057214,0.0001220985,0.0006296746],"category_scores_gemma":[0.0003166376,0.00007078562,0.000049742,0.000577957,0.0002114925,0.0004673399,0.00005942951,0.0003325318,0.00008593975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000748204,"about_ca_system_score_gemma":0.0001788254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005836422,"about_ca_topic_score_gemma":0.002800143,"domain_scores_codex":[0.9987895,0.0002844698,0.0002044865,0.0001740373,0.0003017779,0.0002457095],"domain_scores_gemma":[0.9993632,0.000221868,0.00006132381,0.0001899779,0.0000947405,0.0000688955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000005271615,0.00006677659,0.4221849,7.051369e-7,0.00001864126,0.00000160952,0.5328863,0.00004346635,0.000001349935,0.04009782,0.002109342,0.002583748],"study_design_scores_gemma":[0.0001556562,0.000009646677,0.6543621,0.00001140661,0.00002661802,2.506201e-7,0.3350903,0.00006349156,0.00003873924,0.002392751,0.007699512,0.0001495052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015501,0.0001552992,0.0006927434,0.001116088,0.0003242173,0.0002428882,0.0000109141,0.00006057107,0.0958472],"genre_scores_gemma":[0.9969946,0.00008902862,0.000142231,0.00003286579,0.0001102245,0.00004147754,0.000005846789,0.000004816043,0.002578885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2321772,"threshold_uncertainty_score":0.8822963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5250264046553308,"score_gpt":0.3022336729977025,"score_spread":0.2227927316576283,"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."}}