{"id":"W2028339305","doi":"10.1353/cja.2007.0024","title":"Seniors and Portrayals of Intra-generational and Inter-generational Inequality in the<i>Globe and Mail</i>","year":2006,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Alberta","funders":"","keywords":"Globe; Newspaper; Theme (computing); Inequality; Diversity (politics); Gerontology; Social inequality; Psychology; Population; Sociology; Population ageing; Gender studies; Medicine; Demography; Media studies","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":[0.002625834,0.0003052043,0.0002717965,0.003834536,0.002089992,0.004849117,0.0002033283,0.0009273699,0.003012773],"category_scores_gemma":[0.006498768,0.0001385605,0.0001413581,0.002624316,0.00266169,0.002830055,0.0017245,0.0006843706,0.0002564782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157683,"about_ca_system_score_gemma":0.0005161306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006546878,"about_ca_topic_score_gemma":0.01381148,"domain_scores_codex":[0.9982955,0.001014369,0.000090692,0.00006674644,0.0003768418,0.000155811],"domain_scores_gemma":[0.9933853,0.003906897,0.001604705,0.0001789857,0.000519065,0.0004051237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002722777,0.00004280739,0.06793442,0.0007774673,0.00006089897,0.001789267,0.8140058,0.00008719374,0.002035773,0.01123971,0.0154646,0.08628971],"study_design_scores_gemma":[0.00001290182,0.0001648234,0.1256808,0.001228684,0.00006785377,0.001761088,0.7199835,0.000140524,0.000879431,0.002709724,0.14731,0.00006076204],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346011,0.0120907,0.0004773245,0.01037407,0.0006206071,0.00001119052,0.000222091,0.00002482012,0.04157813],"genre_scores_gemma":[0.9917102,0.003984581,0.0001245598,0.0009345339,0.0003570917,0.000007468247,0.00005066502,0.00001021226,0.002820619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9934531,"threshold_uncertainty_score":0.01388693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866193342260102,"score_gpt":0.2727474391910076,"score_spread":0.2540855057684066,"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."}}