{"id":"W2564334275","doi":"","title":"Critiquing and Transcending STEM","year":2016,"lang":"en","type":"article","venue":"Journal for Activist Science and Technology Education","topic":"University Challenges and Reforms","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subjectivity; Governmentality; Neoliberalism (international relations); Curriculum; State (computer science); Sociology; Epistemology; Science education; Engineering ethics; Political science; Pedagogy; Environmental ethics; Social science; Engineering; Law; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007014889,0.00003685006,0.00005290359,0.0003209109,0.001777226,0.00007720254,0.0001285623,0.00005965904,0.000003073869],"category_scores_gemma":[0.00009999707,0.00002282511,0.00001096115,0.0002558735,0.0009955949,0.0007755138,0.0000145009,0.00006730454,3.959705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504217,"about_ca_system_score_gemma":0.0004810341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001452549,"about_ca_topic_score_gemma":0.00003940719,"domain_scores_codex":[0.9994984,0.000007559296,0.00005655801,0.0001174595,0.0001354888,0.0001845598],"domain_scores_gemma":[0.999594,0.00003579186,0.00005081157,0.00003972811,0.0001985973,0.00008112672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004567329,0.00002692926,0.001908366,0.000005174437,0.000003191106,3.088926e-7,0.003285283,5.582224e-9,0.0160467,0.09746443,0.0001024654,0.8811526],"study_design_scores_gemma":[0.001156879,0.0006739726,0.007025949,0.0004510249,0.00005555454,0.0003185512,0.3630056,0.00001902562,0.01750429,0.1666597,0.4426259,0.0005035747],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381431,0.0001685135,0.0008278568,0.05841714,0.0005030078,0.00009501827,5.858355e-7,0.00002606892,0.001818737],"genre_scores_gemma":[0.9974709,0.001072004,0.0002283642,0.00002651176,0.00009200352,0.000002158893,2.610257e-8,0.000001914419,0.001106144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.880649,"threshold_uncertainty_score":0.9995223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256327580533581,"score_gpt":0.3432676818828351,"score_spread":0.3207044060774993,"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."}}