{"id":"W4282941899","doi":"10.1080/23801883.2022.2074502","title":"Collecting Humanity in the Age of Enlightenment: The Hudson’s Bay Company and Edinburgh University’s Natural History Museum","year":2022,"lang":"en","type":"article","venue":"Global Intellectual History","topic":"History of Science and Natural History","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Riksbankens Jubileumsfond; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse","keywords":"Enlightenment; Humanity; Agency (philosophy); Colonialism; Power (physics); Natural history; Scottish Enlightenment; History; Scope (computer science); Sociology; Art history; Media studies; Environmental ethics; Law; Archaeology; Social science; Political science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004898574,0.0003498456,0.0003679321,0.002341731,0.02095865,0.02105862,0.001453208,0.003034563,0.01037591],"category_scores_gemma":[0.005765588,0.0007378715,0.0002696863,0.004169504,0.03236108,0.008612307,0.01550462,0.004438978,0.0004453757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02479297,"about_ca_system_score_gemma":0.01086387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1649123,"about_ca_topic_score_gemma":0.398706,"domain_scores_codex":[0.9961646,0.00162245,0.00007184799,0.0002729049,0.0005868512,0.001281377],"domain_scores_gemma":[0.9954563,0.001934646,0.0004622148,0.0003805121,0.0002990405,0.001467237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001444476,0.00005907477,0.006878808,0.0001726497,0.00002672801,0.003345687,0.6963891,0.00006791629,0.0004869011,0.1793857,0.07747339,0.03556972],"study_design_scores_gemma":[0.00001781254,0.00003780716,0.01389992,0.0002495704,0.000011806,0.0003799741,0.3284427,0.0000247615,0.000224229,0.004213811,0.6524585,0.00003913699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4593725,0.0491683,0.0007623726,0.1634354,0.001751669,0.00009610168,0.0001799487,0.00007668867,0.325157],"genre_scores_gemma":[0.9291974,0.007358891,0.0003602787,0.00398893,0.0003741737,0.00003957665,0.00003906286,0.00004397588,0.05859775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9790413,"threshold_uncertainty_score":0.3279048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743964577658143,"score_gpt":0.2086794835150712,"score_spread":0.1612398377384898,"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."}}