{"id":"W2612211185","doi":"10.1108/s1059-433720170000072003","title":"The Nursery Years of ‘Judicial Activism’: From A Historian’s Shorthand to Media Catchphrase 1947–1962","year":2017,"lang":"en","type":"book-chapter","venue":"Studies in law, politics, and society","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Terminology; Politics; Term (time); Media studies; Law; Political activism; Political science; Sociology; History; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002237437,0.000282414,0.0002577335,0.0022978,0.004472081,0.008299275,0.0004336596,0.00181381,0.006423563],"category_scores_gemma":[0.004884381,0.0002425707,0.0001175494,0.002582207,0.01661599,0.004991313,0.002510454,0.005032636,0.0008028231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006963308,"about_ca_system_score_gemma":0.002234403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008887189,"about_ca_topic_score_gemma":0.01609339,"domain_scores_codex":[0.9984729,0.0007763542,0.00004961368,0.0001873522,0.0003637493,0.0001500298],"domain_scores_gemma":[0.9954665,0.003525319,0.0002937931,0.000207275,0.0002483055,0.0002588616],"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":[0.00004189639,0.00003470049,0.0006774854,0.0001533973,0.000005587032,0.0001738562,0.06656963,0.00006888844,0.000249748,0.8122643,0.08372349,0.03603718],"study_design_scores_gemma":[0.000005404661,0.00001626898,0.001906578,0.0005646438,0.00000266382,0.00009062172,0.01151405,0.00004039873,0.0002294109,0.01767503,0.9679469,0.000008068989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0613055,0.1452864,0.001135024,0.1275722,0.005510658,0.00003055047,0.0002952601,0.00005245647,0.6588119],"genre_scores_gemma":[0.8320878,0.04229689,0.0003422002,0.01450924,0.009305831,0.00005090919,0.0001211307,0.0001521527,0.1011339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008887189,"threshold_uncertainty_score":0.05052263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05985605103574868,"score_gpt":0.3361861451319482,"score_spread":0.2763300940961995,"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."}}