{"id":"W4393116790","doi":"10.1145/3613904.3642451","title":"\"This is not a data problem\": Algorithms and Power in Public Higher Education in Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Automation; Power (physics); Sustainability; Qualitative property; Public relations; Algorithm; Political science; Machine learning; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008134979,0.0002985673,0.0004844643,0.002120818,0.02735868,0.01337544,0.001987365,0.001527339,0.003474433],"category_scores_gemma":[0.0266632,0.0004233531,0.0003837404,0.006367299,0.02891992,0.003126707,0.005031669,0.003020147,0.0002221442],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2199867,"about_ca_system_score_gemma":0.2927765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950499,"about_ca_topic_score_gemma":0.9965644,"domain_scores_codex":[0.9885175,0.003086046,0.0003391771,0.001219115,0.003945641,0.002892507],"domain_scores_gemma":[0.973208,0.0129459,0.001658368,0.001047345,0.00638227,0.004758241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001368932,0.0001239348,0.08883829,0.0002198523,0.00003477162,0.001121248,0.7684803,0.001932213,0.001114312,0.06191149,0.01118705,0.0648996],"study_design_scores_gemma":[0.00002488438,0.00004919449,0.0852714,0.0002920129,0.00003016689,0.0001998751,0.7578275,0.003337369,0.0008754018,0.007914573,0.1440471,0.0001306215],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9164197,0.0009825368,0.00323126,0.02735574,0.00007238657,0.0001559504,0.0003811429,0.0000564038,0.05134487],"genre_scores_gemma":[0.9931467,0.000437091,0.0007946146,0.0007429012,0.000008645207,0.0000167589,0.00005429402,0.00003092191,0.004768013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9726413,"threshold_uncertainty_score":0.9047049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145870908924796,"score_gpt":0.3947054580888054,"score_spread":0.2801183671963258,"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."}}