{"id":"W2904574542","doi":"10.7202/1057109ar","title":"Beyond Face Value: A Policy Analysis of Employment Equity Programs and Reporting in Ontario Public Colleges","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mandate; Equity (law); Diversity (politics); Public relations; Political science; Public policy; Higher education; Face (sociological concept); Public administration; The arts; Value (mathematics); Economic growth; Sociology; Economics; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01854661,0.0002272461,0.0004549892,0.0041998,0.005181067,0.006354273,0.002465539,0.001703942,0.003389429],"category_scores_gemma":[0.05797784,0.0004582349,0.0006322842,0.009740368,0.002757543,0.00261797,0.002808199,0.001596951,0.0001316753],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2113877,"about_ca_system_score_gemma":0.2251051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843642,"about_ca_topic_score_gemma":0.9876693,"domain_scores_codex":[0.9713076,0.005474098,0.001141372,0.001164283,0.01085499,0.01005771],"domain_scores_gemma":[0.923651,0.02691616,0.01578858,0.002451824,0.02343982,0.007752542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003615989,0.0002352782,0.8307815,0.0007510098,0.0002078149,0.0005783224,0.02080319,0.003784664,0.0009762887,0.05997306,0.0187459,0.06280151],"study_design_scores_gemma":[0.00003323134,0.00009166739,0.9318709,0.0004688264,0.00009911873,0.00005339823,0.02510176,0.003686946,0.0003588817,0.002305433,0.03585463,0.00007521027],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897586,0.00297293,0.001354877,0.04895683,0.000100869,0.0006270108,0.004683385,0.00003178643,0.0436863],"genre_scores_gemma":[0.9916061,0.0009595648,0.0006099472,0.001719752,0.00006026566,0.000164248,0.0006829062,0.00001230144,0.004184864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7886123,"threshold_uncertainty_score":0.9146785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09791806750703926,"score_gpt":0.4283793590381275,"score_spread":0.3304612915310883,"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."}}