{"id":"W6996304485","doi":"","title":"Running in circles: fenianism in rural and small town Ontario, 1865-1868","year":2008,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural area; Small town; Government (linguistics); Rural housing; Rural settlement; Local government; Plan (archaeology)","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":[0.0006777447,0.0002577342,0.0002900549,0.001158138,0.03530294,0.002999994,0.0009676808,0.0007994868,0.008672156],"category_scores_gemma":[0.001289083,0.000261431,0.0001635957,0.002874481,0.01305754,0.001408784,0.002899093,0.001736425,0.0004509038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09557518,"about_ca_system_score_gemma":0.0634336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904366,"about_ca_topic_score_gemma":0.9979736,"domain_scores_codex":[0.9988996,0.0001162139,0.00001776818,0.0001241503,0.0002260652,0.0006163247],"domain_scores_gemma":[0.9991517,0.00007315444,0.0001112162,0.00002969925,0.0002408588,0.0003933766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004401166,0.00001532257,0.02050875,0.00004890318,0.000005606608,0.0005352306,0.9121144,0.00006235568,0.0003733838,0.04168026,0.01208321,0.01252854],"study_design_scores_gemma":[0.00000666671,0.00002160506,0.1168058,0.0001285927,0.000007445015,0.0001617771,0.4749284,0.00004366691,0.0001557532,0.001269402,0.4064432,0.00002753977],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7333134,0.002321804,0.0002722513,0.007557583,0.0001492205,0.00004770045,0.0005142897,0.00001844808,0.2558053],"genre_scores_gemma":[0.9282349,0.0008611639,0.0001375783,0.000351223,0.00001831259,0.00001711663,0.0001049706,0.00001544063,0.07025934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09557518,"threshold_uncertainty_score":0.6934497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366793235313268,"score_gpt":0.2028836883667167,"score_spread":0.1892157560135841,"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."}}