{"id":"W2068720218","doi":"10.7202/018254ar","title":"“Anyone not on the list might as well be dead”: Aboriginal Peoples and the Censuses of Canada, 1851–1916","year":2008,"lang":"en","type":"article","venue":"Journal of the Canadian Historical Association","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Métis National Council","funders":"Ontario Ministry of Research and Innovation; University of Guelph","keywords":"Census; Colonialism; Legislation; Ethnic group; Government (linguistics); State (computer science); Political science; Genealogy; Geography; Law; Ethnology; History; Population; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001054033,0.0003232312,0.0002906074,0.004604901,0.01164598,0.002824437,0.001322712,0.0006544942,0.005009063],"category_scores_gemma":[0.004545551,0.0003694507,0.0002248409,0.01351692,0.003155476,0.001617186,0.001776408,0.00188919,0.0004246825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0855312,"about_ca_system_score_gemma":0.0935142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991879,"about_ca_topic_score_gemma":0.9997076,"domain_scores_codex":[0.9990377,0.00007484207,0.00003970029,0.00006789702,0.0003316687,0.0004481673],"domain_scores_gemma":[0.9978381,0.0001754548,0.0001873199,0.00006823768,0.001303975,0.0004269865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001884417,0.0000618418,0.2187999,0.0007834107,0.000104321,0.001053066,0.312115,0.001040628,0.0003003226,0.05960099,0.3046983,0.1012537],"study_design_scores_gemma":[0.000009916676,0.00001109131,0.6259028,0.0005584572,0.00002728417,0.0001989779,0.06119714,0.0002198248,0.0001184732,0.001471376,0.3102203,0.00006442774],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6569821,0.06413186,0.0005785106,0.06634819,0.001426985,0.0002533825,0.0579529,0.00007357806,0.1522525],"genre_scores_gemma":[0.9082764,0.02853638,0.0007895776,0.001894709,0.0002414849,0.00007232388,0.007213201,0.00005723288,0.05291878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0855312,"threshold_uncertainty_score":0.6205752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00975874786491054,"score_gpt":0.1999643875784128,"score_spread":0.1902056397135022,"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."}}