{"id":"W4412941834","doi":"10.1108/978-1-80117-624-820251002","title":"Intersectional Influences of Socioeconomic Status, Gender, and Location on Education Consultants’ Opportunities and Experiences","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Sociology; Gender studies; Psychology; Geography; Demographic economics; Political science; Demography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002608703,0.0001534836,0.0003694054,0.001109313,0.003503986,0.004962059,0.0005636445,0.0004274581,0.006049296],"category_scores_gemma":[0.006834543,0.0001605247,0.0001251715,0.001680366,0.004371504,0.001931214,0.004205787,0.0006800833,0.0002746484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650165,"about_ca_system_score_gemma":0.002073674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005916227,"about_ca_topic_score_gemma":0.01915574,"domain_scores_codex":[0.995802,0.002907692,0.00006823953,0.0001436491,0.0005951787,0.0004832213],"domain_scores_gemma":[0.9917091,0.006428346,0.000738902,0.0001157249,0.0002801046,0.0007279759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007795449,0.00008216058,0.0737108,0.0001015917,0.000008548699,0.001575901,0.8790243,0.0001204191,0.0007167575,0.008134232,0.00123376,0.03521348],"study_design_scores_gemma":[0.000002464624,0.00003333687,0.04085175,0.0001122774,0.000004248501,0.0004567941,0.9493839,0.0001162702,0.0001187494,0.001098084,0.007806893,0.00001521051],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837812,0.0002470514,0.0001949533,0.0004743403,0.00001003229,0.000006508683,0.0000181633,0.000002731328,0.01526497],"genre_scores_gemma":[0.9981817,0.0001732317,0.00009951703,0.00004873482,0.000006034582,0.00001012715,0.000006710244,0.00000330158,0.001470665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006049296,"threshold_uncertainty_score":0.02023697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1457655273500976,"score_gpt":0.3177253961956099,"score_spread":0.1719598688455123,"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."}}