{"id":"W2019419123","doi":"10.1080/10350330.2012.719731","title":"Learning to labor with Handy Manny: immigration politics and the world of work in a children's cartoon","year":2012,"lang":"en","type":"article","venue":"Social Semiotics","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Immigration; Criticism; Politics; Ideology; Latin Americans; Sociology; Gender studies; Ethnic group; Popular culture; Miami; Media studies; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007047668,0.000072333,0.0001540961,0.00005459584,0.0004397942,0.00003361424,0.00007470304,0.0000577646,0.000008376941],"category_scores_gemma":[0.0001992767,0.00005486192,0.0000245446,0.0005201357,0.0002813967,0.00008555451,0.00002591209,0.0001594121,0.000001875583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006879109,"about_ca_system_score_gemma":0.0000738657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531856,"about_ca_topic_score_gemma":0.00404752,"domain_scores_codex":[0.9989424,0.0002470936,0.0001405323,0.00008555181,0.0002536823,0.0003307344],"domain_scores_gemma":[0.9995782,0.0001557488,0.00007459804,0.00004985589,0.00004705454,0.00009455352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003511967,0.00002370363,0.6896999,0.000006597842,0.0000154195,2.192205e-7,0.2800475,0.00002843855,0.00001599904,0.0274682,0.0002053257,0.002453527],"study_design_scores_gemma":[0.001586933,0.00005637584,0.8541015,0.0001444612,0.0001003217,8.108523e-7,0.1328405,0.00002584349,0.0003513804,0.001830812,0.008618054,0.0003429951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941587,0.000231315,0.00009059879,0.002243936,0.0001109266,0.0002315011,0.000002216743,0.00001569615,0.002915145],"genre_scores_gemma":[0.9974865,0.00004940807,0.0003723939,0.0002552376,0.0006142494,0.000003054023,0.000002761701,0.00000893262,0.0012075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1644017,"threshold_uncertainty_score":0.3382586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090181988799954,"score_gpt":0.2802022145477293,"score_spread":0.2693003946597298,"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."}}