{"id":"W4401632586","doi":"10.22215/etd/2024-16015","title":"Drawing Out Atmosphere: Attunement to Environment Through Hand-Drawing","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Attunement; Representation (politics); Visual arts; Atmosphere (unit); Photography; Aesthetics; Art; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001738141,0.0004719801,0.0001479315,0.0007617761,0.002256388,0.003788257,0.001100773,0.000764515,0.00993022],"category_scores_gemma":[0.004823245,0.0001684515,0.0002596975,0.0006742927,0.007375468,0.002725959,0.003332088,0.0012151,0.001010809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009986126,"about_ca_system_score_gemma":0.0008699934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002946753,"about_ca_topic_score_gemma":0.006277905,"domain_scores_codex":[0.9989288,0.0006964448,0.00002291807,0.00009141455,0.0001854855,0.00007485198],"domain_scores_gemma":[0.9980604,0.001309288,0.0001172266,0.000287962,0.0001367217,0.00008847959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007098892,0.00009855507,0.00337583,0.0003277943,0.00001266789,0.0009697087,0.5463109,0.001521156,0.008218157,0.1233844,0.01697839,0.2987314],"study_design_scores_gemma":[0.00002294741,0.0001276868,0.006020642,0.0005734843,0.00002549602,0.001837923,0.2874548,0.001871292,0.006223326,0.03370138,0.6620668,0.00007416995],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3382944,0.002147672,0.1745088,0.005586395,0.0004054845,0.0003047194,0.0001444492,0.0007149474,0.4778931],"genre_scores_gemma":[0.8574384,0.001626309,0.06718595,0.0004433058,0.00005386373,0.000106935,0.00005854608,0.0002163029,0.07287039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00993022,"threshold_uncertainty_score":0.03321993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079827653750715,"score_gpt":0.3444160181888887,"score_spread":0.3136177416513815,"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."}}