{"id":"W4281727162","doi":"10.32316/hse-rhe.v34i1.4985","title":"“What Porto Rico Can Do for the United States”: The Imperial Roots of the School Survey and Statistics Movement in the United States, 1898-1915","year":2022,"lang":"en","type":"article","venue":"Historical Studies in Education / Revue d histoire de l éducation","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainland; Empire; Political science; Economic growth; Sociology; Public administration; Economic history; Geography; History; Law; Archaeology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001838386,0.0001722377,0.0002038609,0.0000946283,0.001939871,0.00007075802,0.0005651411,0.00003716322,0.0000419929],"category_scores_gemma":[0.001743041,0.00006809765,0.00004715425,0.002387279,0.0003111518,0.0000861337,0.0001798061,0.0002872607,7.163595e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005996352,"about_ca_system_score_gemma":0.0002430505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02311287,"about_ca_topic_score_gemma":0.01756861,"domain_scores_codex":[0.9978454,0.0007080334,0.0005513993,0.0002899044,0.0003611714,0.0002441213],"domain_scores_gemma":[0.9959226,0.002730262,0.0004252186,0.0002168518,0.0006696734,0.00003541494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001474741,0.001787743,0.06961991,0.0000917363,0.0001120892,5.960669e-7,0.1032881,0.00362594,0.0001102418,0.01347581,0.7970664,0.010674],"study_design_scores_gemma":[0.0001510177,0.00009864527,0.3734021,0.00002602172,0.00003626587,0.000003088432,0.1906093,0.0002239018,0.000001761564,0.004064237,0.4312407,0.0001429354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144087,0.005723074,0.00001795027,0.06576377,0.01235716,0.001336835,0.0003445832,0.00001264957,0.00003529548],"genre_scores_gemma":[0.9846741,0.003384463,0.0001341619,0.003984496,0.0003730302,0.002431534,0.001847936,0.000006198249,0.00316408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3658257,"threshold_uncertainty_score":0.9993595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039269286268827,"score_gpt":0.3139084523351437,"score_spread":0.209981523708261,"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."}}