{"id":"W3192281139","doi":"10.18260/1-2--37573","title":"Penalized for Excellence: The Invisible Hand of Career-Track Stratification","year":2024,"lang":"en","type":"article","venue":"2021 ASEE Virtual Annual Conference Content Access Proceedings","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Meritocracy; Excellence; Sociology; Curriculum; Narrative; Cognitive reframing; Framing (construction); Career Pathways; Career counseling; Public relations; Pedagogy; Political science; Psychology; Engineering; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009293807,0.0001818077,0.0003208845,0.001698873,0.007949933,0.005393442,0.0007990478,0.001826288,0.004659038],"category_scores_gemma":[0.02370908,0.0001809183,0.0002282963,0.001336955,0.02147241,0.006113581,0.007657529,0.002971564,0.000205088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003912593,"about_ca_system_score_gemma":0.004070414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113687,"about_ca_topic_score_gemma":0.01756777,"domain_scores_codex":[0.9915059,0.004113253,0.0002366866,0.001034911,0.001640903,0.001468395],"domain_scores_gemma":[0.9827091,0.008763999,0.003262737,0.001809324,0.00127845,0.002176463],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001000859,0.00008720776,0.08382016,0.0000602721,0.0000181622,0.0002018791,0.04764119,0.0004741322,0.0002682793,0.8034263,0.003532933,0.06036929],"study_design_scores_gemma":[0.00003673777,0.0001983489,0.1614998,0.0005984227,0.00003339545,0.0003755915,0.08460679,0.002901619,0.0005813457,0.6934491,0.05562621,0.00009261416],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8208702,0.001383693,0.01177685,0.06226003,0.0002128732,0.00005307447,0.000126044,0.00003461961,0.1032826],"genre_scores_gemma":[0.9978887,0.0001057142,0.0002803365,0.0007505042,0.00003503286,0.00001126925,0.00001084816,0.000005835369,0.000911833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9907062,"threshold_uncertainty_score":0.04915094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679348713077492,"score_gpt":0.3939144172071521,"score_spread":0.225979545899403,"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."}}