{"id":"W1973476983","doi":"10.1080/14681360902742860","title":"Media literacy and neo‐liberal government: pedagogies of freedom and constraint","year":2009,"lang":"en","type":"article","venue":"Pedagogy Culture and Society","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministère de l’Éducation, Gouvernement de l’Ontario; University of Toronto","keywords":"Constraint (computer-aided design); Government (linguistics); Political science; Literacy; Academic freedom; Liberal democracy; Sociology; Liberal education; Political economy; Democracy; Law; Higher education; Philosophy; Mathematics; Liberal arts education; Linguistics; Politics; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.005444261,0.0002793749,0.0003287704,0.001629422,0.006567559,0.0105713,0.0007995603,0.001759954,0.004917122],"category_scores_gemma":[0.009222245,0.0002065341,0.0002301404,0.001434183,0.06799485,0.006804589,0.009525954,0.003467112,0.0002685123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01075189,"about_ca_system_score_gemma":0.004874168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009103281,"about_ca_topic_score_gemma":0.008887423,"domain_scores_codex":[0.9925861,0.005289877,0.0001361613,0.0003623637,0.0008905348,0.0007349855],"domain_scores_gemma":[0.9907146,0.006877216,0.0008471246,0.0007153744,0.0003265688,0.0005191534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001260021,0.00001392542,0.0008117256,0.00003900969,0.000002353636,0.0001072164,0.1333623,0.0001431242,0.0001364274,0.8576452,0.0007704655,0.006955613],"study_design_scores_gemma":[0.00003114495,0.00003969469,0.003658786,0.0005069098,0.000007821312,0.0002329197,0.1816321,0.001221771,0.0008961238,0.5465954,0.2651437,0.00003361296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2269718,0.003394093,0.01289196,0.04121751,0.0001641519,0.00004821118,0.00002327713,0.00007159186,0.7152173],"genre_scores_gemma":[0.9942982,0.0002472402,0.0002728405,0.0002846766,0.00002275175,0.00001322035,0.000003210224,0.00001163305,0.004846318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01075189,"threshold_uncertainty_score":0.0780108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857257471158309,"score_gpt":0.2768332908966988,"score_spread":0.2582607161851157,"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."}}