{"id":"W4328051121","doi":"10.1016/j.resconrec.2023.106968","title":"Lessons from English pre-industrial times for a post-industrial circular economy","year":2023,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Alliance Manchester Business School, University of Manchester; Queen's University; Queen's University Belfast; British Academy of Management","keywords":"Circular economy; Context (archaeology); Incentive; Consumption (sociology); Business; Sustainable consumption; Sustainability; Production (economics); Government (linguistics); Scope (computer science); Transparency (behavior); Goods and services; Economy; Economics; Market economy; Law; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002904318,0.000338892,0.0003663535,0.001434765,0.01455376,0.01316679,0.001006616,0.003723111,0.02096219],"category_scores_gemma":[0.008002903,0.0002421673,0.0001918102,0.002456816,0.01078502,0.01069142,0.004120854,0.005755159,0.001721165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066354,"about_ca_system_score_gemma":0.005871612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07711468,"about_ca_topic_score_gemma":0.1387239,"domain_scores_codex":[0.9985441,0.0004833561,0.00004317784,0.0001020206,0.0001592347,0.0006680838],"domain_scores_gemma":[0.9938331,0.003923596,0.0003598979,0.0002045012,0.0007418197,0.0009371088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001450524,0.00008830852,0.002977683,0.0001935617,0.000005537857,0.003383199,0.6248406,0.00008348087,0.000260537,0.3121218,0.04020585,0.01569447],"study_design_scores_gemma":[0.00001740738,0.00002419673,0.005725418,0.0005304173,0.00000576033,0.0003067603,0.5453827,0.00007189006,0.0002373985,0.02062288,0.4270464,0.00002879671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3657093,0.007926806,0.0007726643,0.1665642,0.001117787,0.00004478418,0.0002795664,0.00002909323,0.4575559],"genre_scores_gemma":[0.9278617,0.003941913,0.0002436866,0.009676307,0.0004025902,0.00003576324,0.00009010002,0.0001071367,0.05764082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07711468,"threshold_uncertainty_score":0.1533316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04285861423173238,"score_gpt":0.2468841379479321,"score_spread":0.2040255237161998,"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."}}