{"id":"W4225276430","doi":"10.4018/978-1-6684-5295-0.ch005","title":"The Age and Time of No Retirement","year":2022,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yorkville University","funders":"","keywords":"Collectivism; Perspective (graphical); Pace; Population ageing; Population; Developed country; Sample (material); Developing country; Demographic economics; Sociology; Development economics; Economics; Economic growth; Geography; Demography; Individualism; Market economy","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":[0.0007391276,0.00007476797,0.0001559871,0.001334351,0.000694451,0.001064925,0.0003039846,0.0003471549,0.008230935],"category_scores_gemma":[0.003402669,0.00005311741,0.0001557345,0.0009468655,0.0003790276,0.0013301,0.0008335849,0.0003632975,0.001245196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004812592,"about_ca_system_score_gemma":0.0006769697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003463213,"about_ca_topic_score_gemma":0.007685603,"domain_scores_codex":[0.999674,0.00008988312,0.00002763768,0.00004676582,0.00005979044,0.000101895],"domain_scores_gemma":[0.9988016,0.0003144681,0.0004285069,0.0000389514,0.0001336699,0.0002827467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000401491,0.0002318342,0.6573015,0.0004675619,0.00004235221,0.001239971,0.04118879,0.0001676604,0.000414342,0.02446328,0.01709563,0.2569856],"study_design_scores_gemma":[0.00000410207,0.0002041526,0.8704501,0.0004294844,0.00002509101,0.0016632,0.04646063,0.00007701543,0.0001235567,0.00309407,0.07744322,0.00002546094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.914379,0.009499362,0.000335851,0.002913867,0.0003433061,0.00002427731,0.001719097,0.00001435155,0.07077085],"genre_scores_gemma":[0.9882421,0.002592878,0.000167094,0.0003167786,0.0001050859,0.0000177708,0.0003144057,0.000004616192,0.008239372],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008230935,"threshold_uncertainty_score":0.0275352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09597859024963358,"score_gpt":0.3516858502945435,"score_spread":0.2557072600449099,"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."}}