{"id":"W2025089734","doi":"10.1080/1088937x.2012.658880","title":"Hunting for empire: narratives of sport in Rupert's Land, 1840–70","year":2012,"lang":"en","type":"article","venue":"Polar Geography","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Narrative; Empire; History; Geography; Media studies; Sociology; Archaeology; Art; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001033878,0.00008947522,0.0001883356,0.0002140896,0.0001678332,0.00001764761,0.0001376469,0.00008150125,0.00007112371],"category_scores_gemma":[0.00005885244,0.00008306351,0.0001554528,0.0004715765,0.0001350527,0.0003709908,0.00001611711,0.00007334413,0.000004444519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001224813,"about_ca_system_score_gemma":0.00005492113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004374728,"about_ca_topic_score_gemma":0.002761174,"domain_scores_codex":[0.9989753,0.00001921705,0.0001978478,0.0001091824,0.0002144881,0.0004840108],"domain_scores_gemma":[0.9995756,0.00002773781,0.0001072354,0.0001046025,0.00004694357,0.0001379043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001502805,0.00008760038,0.9771729,0.00001191939,0.0000145153,3.591434e-7,0.01578808,2.156564e-7,0.0001066323,0.005709788,0.00009956616,0.0009933936],"study_design_scores_gemma":[0.0002653201,0.00002787016,0.7101362,0.00002741467,0.00001055924,2.770331e-7,0.003340479,4.722337e-7,0.0002644544,0.0004774407,0.2853345,0.000114926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898984,0.001544045,0.00001121058,0.0003759043,0.0003318227,0.0002721192,0.00001032798,0.00002831344,0.007527833],"genre_scores_gemma":[0.9988599,0.0000613507,0.0005620663,0.00009594738,0.0002863191,0.00001529936,0.00001636558,0.000009387295,0.00009334007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.285235,"threshold_uncertainty_score":0.6613309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708103798731683,"score_gpt":0.3216103973989542,"score_spread":0.2945293594116374,"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."}}