{"id":"W3130256031","doi":"10.1017/s0022050722000353","title":"Intergenerational Mobility in a Mid-Atlantic Economy: Canada, 1871–1901","year":2022,"lang":"en","type":"article","venue":"The Journal of Economic History","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Census; Occupational mobility; Feature (linguistics); Social mobility; Geography; Demographic economics; White (mutation); Ethnic group; Demography; Economy; Political science; Sociology; Economics; Linguistics; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004587017,0.0002880165,0.0003628537,0.003168121,0.005149126,0.002582575,0.001145635,0.0004091076,0.003853258],"category_scores_gemma":[0.001396182,0.0001842801,0.0004203061,0.008662565,0.0009808607,0.0006223037,0.001568666,0.001115546,0.0003916773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05109766,"about_ca_system_score_gemma":0.04161679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981877,"about_ca_topic_score_gemma":0.9992735,"domain_scores_codex":[0.9993794,0.00002316492,0.00001834949,0.00008250105,0.0001597192,0.000336839],"domain_scores_gemma":[0.9989315,0.00004389494,0.0001063641,0.00003243132,0.0006501413,0.00023563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001546521,0.00007890639,0.8949517,0.0001507821,0.0001808352,0.0004773416,0.01787926,0.001798951,0.0003373771,0.009370242,0.02294161,0.05167832],"study_design_scores_gemma":[0.000004727657,0.000007165962,0.9706544,0.0001084737,0.00002097364,0.00007790966,0.005611823,0.0004180559,0.000074269,0.0002116183,0.02278884,0.00002174253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425911,0.004074119,0.0002368797,0.002551077,0.00007286029,0.00003925558,0.0309313,0.00002359698,0.01947997],"genre_scores_gemma":[0.9786335,0.003290154,0.0003243189,0.0001595236,0.00001833194,0.00002178958,0.01137193,0.00001332016,0.006167115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05109766,"threshold_uncertainty_score":0.3707412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607066340248549,"score_gpt":0.2778733104100894,"score_spread":0.2318026470076039,"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."}}