{"id":"W3119179374","doi":"10.1007/s42330-020-00133-3","title":"Re-visioning Ideological Assemblages Through De-punctualizing and Activist Science, Mathematics and Technology Education","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Science education; Ideology; Sociology; Mathematics education; Pedagogy; Political science; Mathematics; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.01393296,0.0006347858,0.0005404581,0.003020276,0.007985524,0.01217235,0.002286457,0.001587511,0.01063409],"category_scores_gemma":[0.02890175,0.0005789533,0.000624971,0.002105777,0.01343556,0.01049321,0.01655666,0.004001283,0.001913209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004775444,"about_ca_system_score_gemma":0.006615916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004944524,"about_ca_topic_score_gemma":0.01654908,"domain_scores_codex":[0.9900486,0.006017212,0.0003751885,0.001174144,0.001546598,0.0008381891],"domain_scores_gemma":[0.9782161,0.0100877,0.001320063,0.006397378,0.002803197,0.001175525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009629905,0.00009424249,0.003751677,0.0002079624,0.00002105393,0.0002131231,0.369322,0.0007885366,0.003866175,0.5081142,0.005330714,0.108194],"study_design_scores_gemma":[0.00003557235,0.00006843468,0.004046478,0.0004778538,0.00004221332,0.0002517503,0.3000994,0.006162929,0.005534438,0.3654545,0.3177575,0.00006887013],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3016084,0.0007728463,0.2991709,0.01125334,0.0008596133,0.0005565006,0.0003395609,0.001175664,0.3842631],"genre_scores_gemma":[0.9147115,0.0001529324,0.06921124,0.0003031135,0.00005518139,0.0002542253,0.0002497494,0.0005138806,0.01454823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920145,"threshold_uncertainty_score":0.07368541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037084934383612,"score_gpt":0.3328236163143165,"score_spread":0.2957386819307045,"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."}}