{"id":"W2585221086","doi":"10.1080/00324728.2016.1262965","title":"Moving beyond the household: Innovations in data collection on kinship","year":2017,"lang":"en","type":"article","venue":"Population Studies","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Wellcome Trust; Styrelsen för Internationellt Utvecklingssamarbete; William and Flora Hewlett Foundation","keywords":"Kinship; Data collection; Sample (material); Geography; Slum; Population; Socioeconomics; Demographic economics; Sociology; Demography; Economics; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008423669,0.00005519238,0.00007687893,0.00007679066,0.003278396,0.0001875848,0.0003248074,0.00003074845,0.000003825537],"category_scores_gemma":[0.001356951,0.00004368928,0.00001473769,0.0001666756,0.00009377804,0.0003232678,0.0001398082,0.00008269204,0.000003093707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416164,"about_ca_system_score_gemma":0.00003348722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004078046,"about_ca_topic_score_gemma":0.07694323,"domain_scores_codex":[0.9992519,0.00008078177,0.0001565854,0.0001551166,0.0002428377,0.0001127627],"domain_scores_gemma":[0.9992568,0.0001354749,0.0001291676,0.000363778,0.0001043052,0.00001048949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007615407,0.00002556175,0.4120223,0.000004227513,0.0000325759,9.205691e-7,0.006369742,0.001311254,0.00001902676,0.5674672,0.009855659,0.002883935],"study_design_scores_gemma":[0.0001133687,0.000007170881,0.9692107,0.00002784656,0.00000744948,1.251051e-7,0.005799733,0.004241092,0.000001862293,0.01232714,0.008169936,0.00009356915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610974,0.0001434231,0.0001346126,0.0135792,0.001560434,0.0003002812,0.00002157815,0.00003750192,0.02312562],"genre_scores_gemma":[0.9978608,0.0001273777,0.0001038516,0.0003241351,0.0002775991,0.00003243489,0.00003409996,0.000005200717,0.001234476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5571884,"threshold_uncertainty_score":0.9980192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2246043891108137,"score_gpt":0.4212301465526936,"score_spread":0.19662575744188,"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."}}