{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004315462,0.0001931508,0.0004486953,0.00007767435,0.0001630876,0.0001422638,0.0004180932,0.0001848571,0.00009417669],"category_scores_gemma":[0.0001267506,0.0001596059,0.0001006834,0.001479097,0.0009661152,0.0005067948,0.0001044952,0.0001937853,0.000001796311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917493,"about_ca_system_score_gemma":0.0002590808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130591,"about_ca_topic_score_gemma":0.001892922,"domain_scores_codex":[0.9983362,0.0002419668,0.000651449,0.0002712969,0.0001528331,0.0003462749],"domain_scores_gemma":[0.9990072,0.0002842542,0.0003569795,0.0002414705,0.00006910331,0.00004098225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002950145,0.0001063994,0.7441001,0.00005039056,0.00006964144,0.00000303017,0.03891329,0.000347021,8.428871e-7,0.2079124,0.002468836,0.005733072],"study_design_scores_gemma":[0.0007305088,0.00002764208,0.8554029,0.0003764625,0.00003134686,5.132229e-7,0.03681221,0.00001202465,0.0000340962,0.08199582,0.02441612,0.0001603077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113759,0.00282954,0.00001667058,0.001123786,0.0003642427,0.0003764162,0.0000760808,0.000005169091,0.08383214],"genre_scores_gemma":[0.9990533,0.0001088062,0.00006293863,0.0001542195,0.0001064696,0.00002382965,0.000002527598,0.000003489833,0.0004844147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259166,"threshold_uncertainty_score":0.6508539,"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."}}