{"id":"W4391080700","doi":"10.1332/policypress/9781447362036.003.0011","title":"Older women and women’s magazines: audience, agency and the lifecourse","year":2022,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Gender studies; Content (measure theory); Target audience; Psychology; Sociology; Advertising; Social 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":[0.0007236032,0.0003928051,0.0001819742,0.001885553,0.00324209,0.007368009,0.0004342166,0.0008155983,0.01050587],"category_scores_gemma":[0.001225255,0.0001464668,0.0001079964,0.002697446,0.004112323,0.003210472,0.001625962,0.0007533826,0.0009583379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006126685,"about_ca_system_score_gemma":0.004939715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1449589,"about_ca_topic_score_gemma":0.343062,"domain_scores_codex":[0.9995013,0.0001131918,0.000008146973,0.00003375268,0.0001966738,0.0001469159],"domain_scores_gemma":[0.9994254,0.0002875424,0.00006086567,0.00001370788,0.00009478706,0.0001176818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000591822,0.00007116624,0.0094706,0.0005585715,0.000008647649,0.001285571,0.49277,0.00006683313,0.001321747,0.2368431,0.06598443,0.1915602],"study_design_scores_gemma":[0.000002284068,0.00002047009,0.01132285,0.0004750641,0.000006309745,0.0004023913,0.09811541,0.00001849562,0.0001904523,0.004502288,0.8849352,0.000008729397],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1023298,0.06581933,0.0005326007,0.01291823,0.0007082223,0.00003179935,0.0001452057,0.00004758486,0.8174673],"genre_scores_gemma":[0.5338801,0.05979713,0.0006011731,0.003511302,0.0008396488,0.00005044099,0.0001673679,0.00006515794,0.4010878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1449589,"threshold_uncertainty_score":0.2882302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226767698133706,"score_gpt":0.2931146484097081,"score_spread":0.260846971428371,"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."}}