{"id":"W2889325828","doi":"10.25336/csp29414","title":"\"People count in counting people\": A proposed alternative narrative on the origins and history of modern censuses","year":2018,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Narrative; Census; Sociology; Genealogy; History; Demography; Population; Art; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003927457,0.0001201557,0.0002376608,0.0002334352,0.0001111558,0.000006740647,0.00005899799,0.00004819107,0.00002188929],"category_scores_gemma":[0.0008998321,0.00009676476,0.00001761482,0.0002083194,0.00009653402,0.0000985485,0.00001633858,0.00009624883,0.000001541482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370432,"about_ca_system_score_gemma":0.0001221477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1053482,"about_ca_topic_score_gemma":0.8593636,"domain_scores_codex":[0.999049,0.00008985095,0.0003429221,0.0001723505,0.0001711729,0.0001746746],"domain_scores_gemma":[0.9990738,0.0003395982,0.0002059135,0.0001413454,0.0002023557,0.00003698724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005326567,0.00004951384,0.500232,0.000159331,0.00005233864,0.000003575701,0.3185843,0.000403866,0.00002396502,0.176428,0.002640253,0.00136954],"study_design_scores_gemma":[0.0007880998,0.0001236228,0.8141808,0.0004997893,0.00002933837,0.00000377586,0.01001239,0.06491935,0.00003095762,0.108009,0.001092023,0.0003108921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974188,0.0002434257,0.0000485163,0.0004338635,0.0003521075,0.00046277,0.00001541098,0.00001012845,0.001014928],"genre_scores_gemma":[0.9994301,0.00001864778,0.0002516253,0.00009732829,0.00007038114,0.00002187625,0.00001242437,0.00001309407,0.00008456997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7540154,"threshold_uncertainty_score":0.9006093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005947760133955,"score_gpt":0.343238995104542,"score_spread":0.2426442190911465,"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."}}