{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001457569,0.0001396194,0.0003284745,0.00005426678,0.0009590385,0.0001581898,0.0001267137,0.0000841885,0.00002762109],"category_scores_gemma":[0.0007427333,0.0001252407,0.00008086969,0.0002099571,0.0001118802,0.0004477422,0.0000153797,0.00007032321,0.000006304406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319705,"about_ca_system_score_gemma":0.000219281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008813749,"about_ca_topic_score_gemma":0.09814382,"domain_scores_codex":[0.9983655,0.000255455,0.0003901622,0.0002293965,0.000366123,0.0003933452],"domain_scores_gemma":[0.999431,0.00006655346,0.0001621597,0.00005334027,0.0002391389,0.00004784188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009623926,0.0000978406,0.0005360273,0.0000454609,0.00008701417,0.000001663281,0.8466941,0.00000101585,0.00614581,0.08621094,0.02210807,0.0379758],"study_design_scores_gemma":[0.003209296,0.0006145141,0.07798648,0.0002360021,0.000122913,5.443845e-7,0.2240772,0.00001361157,0.02570204,0.3193344,0.3473553,0.001347788],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833257,0.001326327,0.0001640033,0.01056106,0.0004215665,0.0008986028,0.00002796355,0.0001090698,0.003165658],"genre_scores_gemma":[0.9937908,0.0003941181,0.0001104136,0.0003134136,0.0009398472,0.00004013128,0.00001068391,0.000008311695,0.004392271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6226169,"threshold_uncertainty_score":0.9977866,"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."}}