{"id":"W4226031116","doi":"10.2139/ssrn.4070963","title":"Colonial Origins and Fertility: Can the Market Overcome History?","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Colonialism; Fertility; History; Economics; Geography; Political science; Demography; Sociology; Archaeology; Population","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":[0.003018002,0.0001487962,0.000328887,0.0009426209,0.002926731,0.004830102,0.0007751554,0.001996782,0.0209585],"category_scores_gemma":[0.008164106,0.0001945369,0.0001095942,0.0016326,0.01826174,0.005186132,0.002159652,0.00207394,0.0006470233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003391001,"about_ca_system_score_gemma":0.003350247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598076,"about_ca_topic_score_gemma":0.04661081,"domain_scores_codex":[0.9990392,0.0004179407,0.00002355268,0.000132814,0.00006777149,0.0003187326],"domain_scores_gemma":[0.9957939,0.002239844,0.0006123488,0.0002314764,0.000368854,0.0007536202],"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":[0.0001391397,0.0001192902,0.02297324,0.000104276,0.00001886534,0.0006298521,0.05356174,0.0002148057,0.0003142694,0.8685311,0.008138429,0.04525499],"study_design_scores_gemma":[0.00009536841,0.0001503342,0.1308522,0.001001715,0.00005526105,0.0006733131,0.09824049,0.0006049981,0.0004940681,0.3503174,0.4174193,0.00009562679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4930482,0.01659873,0.001430151,0.1016264,0.000526927,0.00003100137,0.0002474835,0.00002171613,0.3864694],"genre_scores_gemma":[0.9884825,0.002562542,0.0001257842,0.001571232,0.0002346798,0.000006345655,0.00002090516,0.00001581567,0.006980042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02598076,"threshold_uncertainty_score":0.07011318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153971004626368,"score_gpt":0.2444222655765868,"score_spread":0.2290251651139499,"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."}}