{"id":"W4415512575","doi":"10.1332/27324176y2025d000000050","title":"Urban futures of digitalized fossil labour: mutual articulations of smartness in cities and extractive work","year":2025,"lang":"","type":"article","venue":"Work in the Global Economy","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Futures contract; Framing (construction); Everyday life; Urbanism; Work (physics); Happening; Diversification (marketing strategy); Bespoke","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002938237,0.0004410397,0.0003091835,0.002786906,0.01363353,0.0132,0.001301988,0.002030565,0.006811124],"category_scores_gemma":[0.002988434,0.0003476744,0.0004412931,0.002891539,0.0592344,0.00865958,0.01437525,0.00237936,0.0002914592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02198879,"about_ca_system_score_gemma":0.01044573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08882478,"about_ca_topic_score_gemma":0.1836572,"domain_scores_codex":[0.998166,0.0007189101,0.00004171404,0.0001990715,0.0003965546,0.0004776865],"domain_scores_gemma":[0.998129,0.0008503426,0.0001754399,0.0003345786,0.0001801692,0.0003305996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002593234,0.00001515595,0.003154803,0.00004889456,0.000006746178,0.0005383058,0.1995627,0.0009102682,0.0002962525,0.7830681,0.0008844543,0.01148834],"study_design_scores_gemma":[0.00001636907,0.00002116678,0.007793683,0.0002219503,0.00001632395,0.0002795618,0.4359404,0.001525457,0.0006528085,0.3412224,0.2122588,0.00005113586],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5245318,0.001881254,0.0246465,0.01449386,0.0001444711,0.00008423301,0.0001361273,0.0001060697,0.4339757],"genre_scores_gemma":[0.9921082,0.0002477616,0.001288001,0.0001398161,0.00001309648,0.00001597205,0.00002344555,0.00002164698,0.006142077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08882478,"threshold_uncertainty_score":0.1766155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007043806270011554,"score_gpt":0.2585894263572515,"score_spread":0.2515456200872399,"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."}}