{"id":"W7097660863","doi":"","title":"Gendered and Racialized Portrayals of the Governor General: Newspaper Coverage of Canada’s Head of State","year":2007,"lang":"en","type":"article","venue":"","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Governor; Framing (construction); Globe; Newspaper; Race (biology); Ethnic group; State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001716326,0.0002328353,0.0002067372,0.002702113,0.01068975,0.006565251,0.0005180846,0.0007581338,0.004309588],"category_scores_gemma":[0.007186888,0.0002002871,0.0001290243,0.00375088,0.00481157,0.001589581,0.001874598,0.001330147,0.0002389699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02712478,"about_ca_system_score_gemma":0.01483117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8847558,"about_ca_topic_score_gemma":0.9549565,"domain_scores_codex":[0.9981282,0.0004974072,0.00004383188,0.0001501519,0.000740919,0.000439501],"domain_scores_gemma":[0.994111,0.002731704,0.001027725,0.0001640763,0.001281697,0.0006838105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001254757,0.00004114399,0.05916952,0.0002218358,0.00004196777,0.001252409,0.8699617,0.00021761,0.00339211,0.01285892,0.02464184,0.02807541],"study_design_scores_gemma":[0.000005091627,0.00002688936,0.1808873,0.000294544,0.0000417132,0.000232418,0.6555346,0.0002245451,0.001395864,0.000528448,0.160777,0.00005156746],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911835,0.001157607,0.0001820015,0.008423665,0.0001643202,0.00001382874,0.0007398446,0.00002046584,0.07746325],"genre_scores_gemma":[0.9935641,0.0006213586,0.00005865566,0.0005597529,0.00005523633,0.000004508802,0.0001289088,0.00001490523,0.004992562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1152442,"threshold_uncertainty_score":0.2318457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450384148528238,"score_gpt":0.3122303370301409,"score_spread":0.2877264955448585,"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."}}