{"id":"W4321443428","doi":"10.1080/13549839.2023.2165053","title":"Can you standardise transformation? Reflections on the transformative potential of benchmarking as a mode of governance","year":2023,"lang":"en","type":"article","venue":"Local Environment","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Durham University","keywords":"Benchmarking; Transformative learning; Corporate governance; Sociology; Political science; Public relations; Business; Economics; Marketing; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002472563,0.0001310524,0.0001603779,0.00001674873,0.0001582283,0.000005749971,0.0001941369,0.00005199639,0.001671639],"category_scores_gemma":[0.00001420242,0.00009903774,0.0001161796,0.0002402173,0.0004755082,0.0001275822,0.00005180975,0.0001283297,0.00007352446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004598781,"about_ca_system_score_gemma":0.00001463247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006188206,"about_ca_topic_score_gemma":0.0001926944,"domain_scores_codex":[0.9985303,0.00006342929,0.0003136362,0.0001927818,0.0006546634,0.0002451846],"domain_scores_gemma":[0.9994941,0.00005939755,0.0001375962,0.0002523174,0.000004255221,0.00005228848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000505103,0.0004591065,0.0003249072,0.000145114,0.00006900975,0.00001049589,0.08470605,0.8599415,0.009677543,0.009828077,0.0005681429,0.03376492],"study_design_scores_gemma":[0.006010152,0.004911222,0.1733019,0.0005981022,0.0003832759,0.00003368257,0.2312495,0.1200819,0.3405356,0.05626905,0.06454526,0.002080348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806879,0.00001458799,0.003815506,0.003558024,0.00006177946,0.0004489953,0.0003228959,0.00002064836,0.01106964],"genre_scores_gemma":[0.9991533,0.0004451548,0.00003487353,0.0001227666,0.00001211642,0.00006336519,0.00001321041,0.000009602874,0.0001456594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7398596,"threshold_uncertainty_score":0.999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135848318831178,"score_gpt":0.2555328073506378,"score_spread":0.24194797546752,"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."}}