{"id":"W3173618125","doi":"10.3390/soc11030069","title":"“With Friends Like These”: Unpacking Panicked Metaphors for Population Ageing","year":2021,"lang":"en","type":"article","venue":"Societies","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Social Sciences and Humanities Research Council of Canada; National Cheng Kung University; University of Windsor","keywords":"Metaphor; Population ageing; Population; Sociology; Meaning (existential); Psychology; Linguistics; Philosophy; Psychotherapist; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007072433,0.001266632,0.0005246969,0.003206789,0.008963782,0.00906658,0.00158282,0.00353396,0.004269349],"category_scores_gemma":[0.009681155,0.0004194269,0.0007250845,0.001861267,0.05092704,0.01885253,0.008867502,0.006545283,0.000656748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004859059,"about_ca_system_score_gemma":0.001572647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953912,"about_ca_topic_score_gemma":0.003622486,"domain_scores_codex":[0.9895602,0.009127663,0.0001049578,0.0003009155,0.0004729527,0.0004332348],"domain_scores_gemma":[0.9945778,0.003845986,0.0004770031,0.0003131448,0.0003064461,0.000479669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001981634,0.00001800492,0.0003748338,0.00009871593,0.00000627179,0.0003234264,0.493287,0.00008993306,0.0001497878,0.4966837,0.004982442,0.003966092],"study_design_scores_gemma":[0.00002916156,0.00006166895,0.001072713,0.0004662532,0.00001709613,0.001178569,0.4348411,0.0007409917,0.0001868173,0.2853458,0.2760051,0.00005471121],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2542275,0.03074613,0.05852094,0.1300302,0.005885235,0.0001383429,0.0001188137,0.0002717036,0.5200611],"genre_scores_gemma":[0.9807596,0.003050835,0.00372883,0.005170396,0.0005764083,0.00007693269,0.00002269468,0.0000893639,0.006525066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00906658,"threshold_uncertainty_score":0.03740305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04829123563054857,"score_gpt":0.366659624794984,"score_spread":0.3183683891644354,"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."}}