{"id":"W2100943271","doi":"10.7202/1011664ar","title":"Technology and Curriculum: Shadows and Machines","year":2012,"lang":"en","type":"article","venue":"McGill Journal of Education / Revue des sciences de l éducation de McGill","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Performative utterance; Ambiguity; Curriculum; Context (archaeology); Construct (python library); Field (mathematics); Sociology; Epistemology; Expression (computer science); Engineering ethics; Aesthetics; Computer science; Pedagogy; Engineering; Philosophy; Mathematics; History","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.002097245,0.000376672,0.0003204348,0.001757619,0.0047129,0.01453789,0.0007352599,0.002155619,0.01039893],"category_scores_gemma":[0.005800704,0.0003509485,0.0003131289,0.001348948,0.04873779,0.01696104,0.00835711,0.003222797,0.0008849601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004249402,"about_ca_system_score_gemma":0.002563135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003768817,"about_ca_topic_score_gemma":0.003000498,"domain_scores_codex":[0.9978265,0.001236183,0.00005139858,0.0002291837,0.0003802897,0.0002763882],"domain_scores_gemma":[0.997261,0.001594873,0.0001976319,0.0004517119,0.0001473387,0.0003474743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001149854,0.00001006472,0.0004293922,0.00003241771,0.000002130329,0.00005186188,0.02644658,0.0001695965,0.0001979786,0.9592346,0.001793206,0.01162058],"study_design_scores_gemma":[0.00001484583,0.00004012214,0.001687519,0.0002354366,0.000008591493,0.0002003368,0.03112923,0.00085244,0.0005618179,0.6447753,0.3204719,0.00002256356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1029188,0.01307233,0.04993131,0.06097892,0.001110822,0.00004801728,0.0001111267,0.0003130824,0.7715157],"genre_scores_gemma":[0.9671265,0.002258605,0.003108012,0.001428705,0.0003056789,0.00003921528,0.00003109506,0.0001454159,0.02555673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01453789,"threshold_uncertainty_score":0.03478789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2053298567913897,"score_gpt":0.3750220428628549,"score_spread":0.1696921860714652,"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."}}