{"id":"W2138437200","doi":"10.1111/j.1540-5893.2011.00458.x","title":"Political Liberalism and Political Embeddedness: Understanding Politics in the Work of Chinese Criminal Defense Lawyers","year":2011,"lang":"en","type":"article","venue":"Law & Society Review","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Embeddedness; State (computer science); Political science; Grassroots; Power (physics); Sociology; Law; Law and economics; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002141678,0.0002043584,0.0002396181,0.00246734,0.003833418,0.003877032,0.0005355793,0.0008243007,0.001597649],"category_scores_gemma":[0.002459527,0.0001871268,0.0001262482,0.00254783,0.01148569,0.003012429,0.00224243,0.0008236243,0.00008109846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006445601,"about_ca_system_score_gemma":0.005521093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03544468,"about_ca_topic_score_gemma":0.05371426,"domain_scores_codex":[0.9979022,0.001223905,0.00006223593,0.0001609481,0.0003142709,0.0003364635],"domain_scores_gemma":[0.9985076,0.0008570345,0.0003379782,0.00004454907,0.0000911497,0.0001617393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001918081,0.00003882076,0.04483451,0.000173428,0.00001019712,0.0009104103,0.8713989,0.0001159811,0.000699034,0.06379911,0.0005150275,0.0174854],"study_design_scores_gemma":[0.00001750023,0.00004017412,0.1547341,0.0002204874,0.00002115016,0.000246695,0.8017317,0.0006107019,0.0001950207,0.01474627,0.02741688,0.00001925806],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652591,0.002375219,0.0007593855,0.003467743,0.00001899818,0.00002043255,0.000006873993,0.000002402136,0.02808996],"genre_scores_gemma":[0.9988783,0.0004742061,0.00006626567,0.0001028944,0.000008027776,0.000007375854,0.00000289592,8.62924e-7,0.0004591208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03544468,"threshold_uncertainty_score":0.07047671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1734326347790768,"score_gpt":0.4092485452642673,"score_spread":0.2358159104851905,"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."}}