{"id":"W2478903142","doi":"10.3726/978-3-0352-6458-6/29","title":"“We Stand on Guard”. The “True North Strong and Free” War, the Arts, and the Canadian North","year":2016,"lang":"en","type":"book-chapter","venue":"Peter Lang eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Guard (computer science); The arts; Political science; History; Law; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008184217,0.0007879802,0.0003995554,0.001720693,0.02196905,0.009671774,0.001238694,0.002986764,0.03334864],"category_scores_gemma":[0.001709559,0.000410669,0.0002974416,0.003058541,0.01561265,0.005005145,0.002490082,0.004548201,0.004858937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06088914,"about_ca_system_score_gemma":0.07734575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9625554,"about_ca_topic_score_gemma":0.9910182,"domain_scores_codex":[0.998508,0.0001523545,0.00001749019,0.0001415935,0.0006571462,0.0005233798],"domain_scores_gemma":[0.9993281,0.00008626798,0.00002829739,0.00003214119,0.0003069891,0.0002181434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001382543,0.000005870149,0.0002646051,0.00007292964,0.000002525444,0.00005657639,0.009212237,0.00004231109,0.00008273483,0.4868538,0.4758263,0.02756626],"study_design_scores_gemma":[0.000001825698,0.000001555045,0.0005287847,0.0001167602,0.000002595349,0.00002969586,0.004747965,0.00001663818,0.0000489601,0.01276177,0.9817347,0.000008734645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001648725,0.03414306,0.0005079689,0.04096885,0.002545064,0.00001740602,0.000234434,0.0000601943,0.9198744],"genre_scores_gemma":[0.08109699,0.0180687,0.0008638107,0.01130638,0.0005426192,0.00003298557,0.0001437999,0.0001411222,0.8878036],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06088914,"threshold_uncertainty_score":0.4417837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648540742039765,"score_gpt":0.199075651124008,"score_spread":0.1825902437036104,"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."}}