{"id":"W4232054425","doi":"10.32920/ryerson.14661534","title":"Mapping the Canadian landscape : the performing arts and experiential perspectives","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Homeland; The arts; Experiential learning; Space (punctuation); Power (physics); Meaning (existential); Period (music); Aesthetics; Visual arts; Sociology; Performing arts; Landscape design; Art; Epistemology; Politics; Political science; Law; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002763894,0.0009455037,0.0004272718,0.005095571,0.03733203,0.01384929,0.002241531,0.001349036,0.008229024],"category_scores_gemma":[0.004089609,0.0003429966,0.0004312453,0.008674038,0.03307831,0.003605622,0.006042691,0.002854187,0.0003695836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06895725,"about_ca_system_score_gemma":0.06000521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9753044,"about_ca_topic_score_gemma":0.9886528,"domain_scores_codex":[0.9971654,0.0007976283,0.0000434402,0.0002279714,0.0008293943,0.0009362333],"domain_scores_gemma":[0.9977748,0.0008536213,0.000124078,0.0001355203,0.0005865919,0.0005253439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003925306,0.00002742706,0.005182541,0.0001656481,0.00001229645,0.0009011354,0.8018768,0.0006935485,0.0009165704,0.1414177,0.01097713,0.03778988],"study_design_scores_gemma":[0.000002180191,0.00001158583,0.01084334,0.0002093636,0.00001148757,0.0001953966,0.8126543,0.0002220526,0.0002988887,0.004737309,0.1707786,0.00003551401],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3340648,0.005993037,0.005091704,0.0167669,0.0003731309,0.00007103197,0.0004698154,0.00009018183,0.6370795],"genre_scores_gemma":[0.9678715,0.003730731,0.001554323,0.000556045,0.00004472078,0.00002731574,0.0001334304,0.00006097202,0.02602094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06895725,"threshold_uncertainty_score":0.5003222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424397378146898,"score_gpt":0.3120256308422087,"score_spread":0.2677816570607397,"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."}}