{"id":"W4379982873","doi":"10.1016/j.exis.2023.101282","title":"Constructing the global sand crisis: Four reasons to interrogate crisis and scarcity in narrating extraction","year":2023,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Mining and Resource Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"University of Melbourne","keywords":"Framing (construction); Environmental crisis; Scarcity; Political crisis; Corporate governance; Politics; Ecological crisis; Political economy; State (computer science); Political science; Sociology; Environmental ethics; Law; Economics; Geography; Market economy","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":[0.00568079,0.001099083,0.0005520917,0.002226092,0.01434672,0.01155101,0.001919566,0.005866662,0.003675089],"category_scores_gemma":[0.02200307,0.00062724,0.0003753076,0.002026576,0.02734086,0.01471137,0.01290418,0.008472463,0.0006285572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004288236,"about_ca_system_score_gemma":0.002442988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005688566,"about_ca_topic_score_gemma":0.01074203,"domain_scores_codex":[0.9951217,0.003447226,0.0001848013,0.0002288449,0.0004031384,0.0006143308],"domain_scores_gemma":[0.9908008,0.007215814,0.0006520994,0.0003363038,0.0005393791,0.0004555091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005117644,0.00001109928,0.001034147,0.0001192896,0.000005915669,0.0008173884,0.9533069,0.00008122569,0.0006243133,0.03854372,0.002692531,0.002712249],"study_design_scores_gemma":[0.000006064406,0.00000917035,0.000773294,0.0002716281,0.00001041702,0.0007187451,0.915352,0.0002702356,0.0007047431,0.01801801,0.06384188,0.00002377358],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6362973,0.004921986,0.03224443,0.09421844,0.001526819,0.0003250308,0.0003246779,0.000173872,0.2299675],"genre_scores_gemma":[0.9894516,0.0008090517,0.002584165,0.00291933,0.0001784061,0.0001442454,0.00005328585,0.0001393434,0.003720527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01434672,"threshold_uncertainty_score":0.03111351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785942207836315,"score_gpt":0.2643770431400282,"score_spread":0.2365176210616651,"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."}}