{"id":"W4385985472","doi":"10.1080/02723638.2023.2246846","title":"“Art district without artists”: urban redevelopment through industrial heritage renovation and the gentrification of industrial neighborhoods in China","year":2023,"lang":"en","type":"article","venue":"Urban Geography","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gentrification; Redevelopment; China; Industrial heritage; State (computer science); Deindustrialization; Apartment; Work (physics); Urbanism; Sociology; Economy; Economic growth; Cultural heritage; Political science; Economic geography; Geography; Law; Economics; Cultural heritage management; Engineering; Archaeology","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":[0.0004312634,0.0001188158,0.0001295859,0.0005230802,0.004656096,0.001791909,0.0006267778,0.0003702676,0.003548889],"category_scores_gemma":[0.0003682265,0.0001288649,0.0002109862,0.0006231629,0.002456635,0.0008242484,0.00216018,0.0004832722,0.0001172297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373539,"about_ca_system_score_gemma":0.003316507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03997621,"about_ca_topic_score_gemma":0.1629506,"domain_scores_codex":[0.9997576,0.00005819821,0.000006089103,0.00003533902,0.00002950788,0.0001132492],"domain_scores_gemma":[0.9998543,0.00001311411,0.00003022145,0.00001813318,0.00001694762,0.00006723986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002659406,0.0005440402,0.2801344,0.0002714393,0.00006318718,0.006540618,0.247592,0.003340073,0.008308061,0.2210373,0.01231139,0.2195915],"study_design_scores_gemma":[0.0000404368,0.0002717413,0.6079779,0.0001609177,0.00006582515,0.0008039076,0.21496,0.004451948,0.002878915,0.01906889,0.1492515,0.00006792373],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875665,0.0001392253,0.0002609758,0.0006530325,0.00001179015,0.00001329365,0.00001360551,0.000009247288,0.01133244],"genre_scores_gemma":[0.9972873,0.00007398878,0.0001132756,0.00003192108,0.000002803776,0.000003793577,0.000008637383,0.000001711562,0.002476659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03997621,"threshold_uncertainty_score":0.07948703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284332268146938,"score_gpt":0.2700702580564617,"score_spread":0.2272269353749923,"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."}}