{"id":"W2016130993","doi":"10.1177/0964663909345093","title":"Promoting Equality? Gendered Messages in State Materials for New Immigrants","year":2009,"lang":"en","type":"article","venue":"Social & Legal Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Immigration; Socialization; State (computer science); Sociology; Gender studies; Social psychology; Political science; Psychology; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004088716,0.0002446887,0.0002310515,0.0008590332,0.006932966,0.005118527,0.0004701967,0.001713507,0.01212591],"category_scores_gemma":[0.007539109,0.0001854912,0.0001712641,0.0005412994,0.005020162,0.004283715,0.004739067,0.001491891,0.0008650433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699122,"about_ca_system_score_gemma":0.002168651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003388108,"about_ca_topic_score_gemma":0.008383045,"domain_scores_codex":[0.9974802,0.001895446,0.00007522957,0.00006672653,0.0002591721,0.0002231895],"domain_scores_gemma":[0.9967212,0.002270845,0.0003184559,0.000203231,0.0001896274,0.0002966654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001224633,0.0004961131,0.004916021,0.0002636199,0.000005948703,0.0007199095,0.7223042,0.000141816,0.002928188,0.1209586,0.0119554,0.1351879],"study_design_scores_gemma":[0.0000478563,0.0004382042,0.00699025,0.0008048421,0.00002195692,0.000403963,0.581813,0.0003120021,0.003514918,0.01183316,0.393771,0.00004887922],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7444375,0.001220674,0.00373983,0.02925507,0.000834032,0.0001609775,0.00006681581,0.0001369927,0.2201482],"genre_scores_gemma":[0.9751585,0.0006692505,0.001612816,0.001275323,0.0001960161,0.00008522305,0.00002674544,0.00003952822,0.02093659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212591,"threshold_uncertainty_score":0.04056519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07418518093480381,"score_gpt":0.3998947248190268,"score_spread":0.325709543884223,"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."}}