{"id":"W7008352186","doi":"","title":"Borderline Canadianness: Border Crossings and Everyday Nationalism in Niagara","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nationalism; Ethnography; Everyday life; Elite; Government (linguistics); Inequality; Work (physics)","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":[0.001198931,0.0004215599,0.0004079922,0.001821469,0.05589088,0.008694555,0.001338483,0.001486075,0.00426151],"category_scores_gemma":[0.002151876,0.0003365295,0.0002214799,0.003629599,0.02181675,0.003041711,0.005949586,0.002996381,0.0002040809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06836079,"about_ca_system_score_gemma":0.04753389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906496,"about_ca_topic_score_gemma":0.9968014,"domain_scores_codex":[0.9984878,0.0004142644,0.00003139802,0.0001809035,0.0002405,0.0006449368],"domain_scores_gemma":[0.9986721,0.0002837879,0.0001400024,0.00007441954,0.0002890279,0.0005406106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002048941,0.00001062979,0.008704732,0.00003454527,0.000004039401,0.0005716482,0.9646598,0.00002486573,0.0002683986,0.01533175,0.004965225,0.005403922],"study_design_scores_gemma":[0.000002137661,0.00000705471,0.01150178,0.0000638445,0.000004915484,0.0001801929,0.9247937,0.00002888872,0.00007345724,0.0004880382,0.06283037,0.00002571583],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861591,0.0026177,0.0002834619,0.01061094,0.0001371746,0.00003955022,0.0001922829,0.0000279372,0.0999317],"genre_scores_gemma":[0.9865464,0.001213966,0.0002538857,0.0007018836,0.00001016238,0.0000166407,0.00006641384,0.00001869931,0.01117189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06836079,"threshold_uncertainty_score":0.4959946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525853565528757,"score_gpt":0.2484805756974105,"score_spread":0.2332220400421229,"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."}}