{"id":"W4381294700","doi":"10.3138/utq.92.2.04","title":"Conceptual Confusion in R.G. Collingwood’s Theory of the “Criterion of Historical Truth”","year":2023,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Philosophy, History, and Historiography","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epistemology; Contingency; A priori and a posteriori; Nothing; Meaning (existential); Construct (python library); Philosophy; Interpretation (philosophy); Confusion; Perspective (graphical); Empiricism; Coherence (philosophical gambling strategy); Logical truth; Psychology; Computer science; Mathematics; Linguistics; Psychoanalysis; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001733018,0.00008641516,0.000253797,0.0001075947,0.0001379306,0.000002783835,0.0002741158,0.00005298143,0.0006383914],"category_scores_gemma":[0.000008984565,0.0000829288,0.0001922733,0.00004976746,0.0006387326,0.0001396688,0.00002097205,0.00006368806,0.000004506957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164627,"about_ca_system_score_gemma":0.00004935176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0178606,"about_ca_topic_score_gemma":0.02455287,"domain_scores_codex":[0.9992529,0.0001193306,0.000195491,0.0001318841,0.0001888523,0.000111513],"domain_scores_gemma":[0.9993736,0.00009904604,0.0001855309,0.0002065435,0.0001044995,0.00003079514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003223565,0.0001955388,0.0003867666,0.0000684915,0.00004010062,0.000005430266,0.5149976,0.000002366245,0.001316142,0.4731371,0.007563743,0.00196431],"study_design_scores_gemma":[0.002443046,0.001949214,0.01128133,0.0002164067,0.0001399335,6.764064e-7,0.1723481,0.00005726446,0.00008852604,0.008411683,0.8026896,0.0003742716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923699,0.001344433,0.00001984525,0.0001481088,0.002184367,0.0002185115,0.000117533,0.00004842554,0.1035489],"genre_scores_gemma":[0.9963918,0.00003893649,0.00001428334,0.000008624968,0.00006773201,1.964079e-7,0.000004799092,0.000006068819,0.003467519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7951258,"threshold_uncertainty_score":0.9932465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225067509327476,"score_gpt":0.1810804927566219,"score_spread":0.1585737418238743,"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."}}