{"id":"W4408765490","doi":"10.1007/s00146-025-02290-1","title":"The model is the museum: generative AI and the expropriation of cultural heritage","year":2025,"lang":"en","type":"article","venue":"AI & Society","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Expropriation; Performing arts; Cultural heritage; Generative grammar; Generative model; Generative Design; Cultural heritage management; Visual arts; Artificial intelligence; Aesthetics; Computer science; Art; History; Archaeology; Engineering; Political science; Law; Operations management","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":[0.001676698,0.000425194,0.0003528417,0.001183904,0.002047185,0.007270545,0.001818003,0.002235356,0.01516684],"category_scores_gemma":[0.004461457,0.0004312437,0.00106979,0.0008752759,0.01187761,0.007863504,0.003682966,0.002309263,0.001510895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851322,"about_ca_system_score_gemma":0.002173873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008192256,"about_ca_topic_score_gemma":0.009639609,"domain_scores_codex":[0.9989676,0.0005425258,0.00002611836,0.0001723183,0.0002018913,0.0000896417],"domain_scores_gemma":[0.9978781,0.001006538,0.00006372103,0.000699554,0.0001660552,0.0001860489],"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":[0.00001936922,0.00002075498,0.0003900322,0.00006108985,0.00001216767,0.00006942365,0.002701253,0.003049448,0.000563499,0.9752975,0.003168558,0.01464691],"study_design_scores_gemma":[0.00003616448,0.00003447398,0.0002931233,0.0001096958,0.00002841629,0.0001975354,0.00204183,0.02610698,0.0009306577,0.8764355,0.09375825,0.000027234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03105032,0.001400643,0.5366375,0.02528941,0.0005721256,0.0001429013,0.0003079576,0.00148782,0.4031113],"genre_scores_gemma":[0.7709334,0.001119767,0.1663902,0.002047966,0.0001486316,0.0002049433,0.0003468398,0.0005121982,0.05829604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01516684,"threshold_uncertainty_score":0.05073816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450628538768838,"score_gpt":0.2402494835298771,"score_spread":0.2257431981421887,"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."}}