{"id":"W4200280470","doi":"10.1093/geroni/igab046.1537","title":"From Margin to Center: Intersectionality and the Politics of Environmental Gerontology","year":2021,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Graduate Center","keywords":"Scholarship; Intersectionality; Politics; Sociology; Gender studies; Power (physics); Population ageing; Conversation; Population; Gerontology; Representation (politics); Political science; Medicine; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003747511,0.00003382311,0.00007653823,0.00005562341,0.0001456516,0.00001526971,0.00004039135,0.00001896794,0.0000800837],"category_scores_gemma":[0.000136739,0.00003005382,0.000009892504,0.0002223341,0.0001639911,0.00005357198,0.00003822129,0.00004715099,0.00000128058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005446155,"about_ca_system_score_gemma":0.00002798099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257021,"about_ca_topic_score_gemma":0.01201047,"domain_scores_codex":[0.9994054,0.0001174567,0.0001944649,0.00009296677,0.0001035953,0.00008616017],"domain_scores_gemma":[0.999727,0.0001143239,0.00005965379,0.00005339371,0.00003618949,0.000009422904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000008415249,0.0000335898,0.3293116,0.00000414035,0.00001912193,0.000001410083,0.4959234,0.000003410658,0.0003441123,0.1721365,0.0006807128,0.001533609],"study_design_scores_gemma":[0.0007862968,0.000004779832,0.8858408,0.00002796154,0.000005844602,0.000001002675,0.03575711,0.00003190117,0.0004784545,0.0558533,0.02113103,0.00008150642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904064,0.0001219121,0.0009913119,0.006659509,0.0002057053,0.00006042666,0.0000131053,0.000005889829,0.001535743],"genre_scores_gemma":[0.9986905,0.00003570833,0.000261896,0.0005425745,0.0001427373,0.000005329036,0.000009320429,0.000001751031,0.0003102053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5565292,"threshold_uncertainty_score":0.9940052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413148421447648,"score_gpt":0.3038891887772633,"score_spread":0.2797577045627868,"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."}}