{"id":"W1507434262","doi":"10.29173/cjs10287","title":"“The National Gain is Nil”: Talking About Infant Mortality in Interwar Alberta","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts; University of Alberta","keywords":"Polity; Biopower; Newspaper; Infant mortality; First world war; World War II; Reproduction; Sociology; Militarization; Spanish Civil War; Gender studies; History; Economic history; Demography; Media studies; Political science; Law; Population; Ancient history; Politics","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":[0.002979534,0.000504858,0.0003689737,0.001509768,0.02866583,0.006498295,0.002395168,0.002383752,0.002797615],"category_scores_gemma":[0.003147841,0.0002763175,0.0001780065,0.001606552,0.01563474,0.002058523,0.00372677,0.005719905,0.0002906684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05857586,"about_ca_system_score_gemma":0.0230373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9252752,"about_ca_topic_score_gemma":0.9573774,"domain_scores_codex":[0.9977386,0.001001609,0.00002446593,0.0001072101,0.0004305251,0.0006975378],"domain_scores_gemma":[0.9975205,0.0009219953,0.0001843357,0.00005047758,0.0005882623,0.0007343657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006384802,0.00002787673,0.007444259,0.00005904403,0.000008957128,0.001493313,0.9442034,0.0001505222,0.0005504889,0.02237567,0.01272631,0.01089625],"study_design_scores_gemma":[0.000004061135,0.00002372689,0.01409622,0.0001803083,0.00001530628,0.0002916603,0.8547512,0.0001094446,0.0003022318,0.0015737,0.1286112,0.00004093552],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7621996,0.01018553,0.0008319896,0.05994789,0.00128904,0.00002454646,0.00009293139,0.00005971035,0.1653687],"genre_scores_gemma":[0.9787744,0.002769806,0.0002250909,0.003719409,0.0001383741,0.000009300452,0.000031781,0.00002123371,0.01431043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07472479,"threshold_uncertainty_score":0.4249996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317655339441819,"score_gpt":0.3025774194308663,"score_spread":0.2708118854866844,"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."}}