{"id":"W4206393320","doi":"10.1016/j.futures.2022.102903","title":"When two movements collide: Learning from labour and environmental struggles for future Just Transitions","year":2022,"lang":"en","type":"article","venue":"Futures","topic":"Mining and Resource Management","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Horizon 2020 Framework Programme; International Labour Organization; European Commission; Russian Science Foundation; Horizon 2020; European Bank for Reconstruction and Development","keywords":"Transformative learning; Scholarship; Narrative; Sociology; Equity (law); Scope (computer science); Political science; Democracy; Environmental justice; Political economy; Politics; Law","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":[0.02033201,0.0008347438,0.0008120869,0.002414865,0.02685318,0.02367363,0.002827524,0.006046874,0.01053524],"category_scores_gemma":[0.03020963,0.0005985729,0.0006679944,0.002124756,0.0520323,0.04244541,0.02536246,0.01046797,0.001284552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008186818,"about_ca_system_score_gemma":0.008838874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004375366,"about_ca_topic_score_gemma":0.01053082,"domain_scores_codex":[0.9852757,0.01015516,0.000208452,0.001105962,0.001089512,0.002165189],"domain_scores_gemma":[0.9834962,0.01135561,0.001226177,0.0009611193,0.00089844,0.002062432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002702145,0.00002846382,0.001489784,0.00008004832,0.000006450574,0.0004967927,0.8893695,0.00008297174,0.0001535028,0.09469794,0.002993018,0.0105745],"study_design_scores_gemma":[0.000004512885,0.00001349633,0.000538587,0.0002225456,0.000003678353,0.0001214172,0.8935656,0.0001075146,0.0001177259,0.05698129,0.04830853,0.00001507797],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5267606,0.0062558,0.01978654,0.1667221,0.001554408,0.0001694359,0.000111418,0.0001403771,0.2784992],"genre_scores_gemma":[0.9821934,0.001853317,0.002257111,0.003355593,0.0001687546,0.00009853567,0.00006885777,0.000118241,0.009886338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02685318,"threshold_uncertainty_score":0.1075272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007331707317130201,"score_gpt":0.1920063559675235,"score_spread":0.1846746486503933,"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."}}