{"id":"W2952096141","doi":"10.48550/arxiv.1310.6342","title":"Cultural Evolution as Distributed Computation","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transformative learning; Computer science; Computation; Darwinism; Process (computing); Evolutionary computation; Artificial intelligence; Autopoiesis; Theoretical computer science; Cognitive science; Epistemology; Sociology; Algorithm; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551776,0.0001877239,0.0001845188,0.00006445423,0.0005563952,0.0001376377,0.0003600767,0.0003907664,0.0003612877],"category_scores_gemma":[0.000108029,0.000186011,0.0001654779,0.0003932978,0.000238756,0.0005225884,0.0002277045,0.0003470608,0.0007187398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009583893,"about_ca_system_score_gemma":0.0002202776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921322,"about_ca_topic_score_gemma":0.001239785,"domain_scores_codex":[0.9986634,0.0002609558,0.000136804,0.0004857417,0.0001358861,0.000317225],"domain_scores_gemma":[0.9990215,0.00003459001,0.0002012626,0.0001897746,0.0003888184,0.0001640754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007700479,0.000189264,0.005125494,0.0001064278,0.0002021839,0.0001403371,0.01277214,0.1335428,0.0001730912,0.8297511,0.01649721,0.001423001],"study_design_scores_gemma":[0.0026879,0.0002218661,0.05016297,0.0006383795,0.0009288237,0.00001115648,0.1019215,0.1668277,0.00009811418,0.6435898,0.02940662,0.003505141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959709,0.0001554491,0.02249651,0.0002846805,0.000642948,0.000465111,0.00004145801,0.0003091999,0.01589558],"genre_scores_gemma":[0.9931679,0.0001653957,0.00005081791,0.00004048807,0.0002889638,0.000001499297,0.0004275711,0.00000803959,0.005849313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1861613,"threshold_uncertainty_score":0.9873179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06194967362903829,"score_gpt":0.2271485558743798,"score_spread":0.1651988822453416,"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."}}