{"id":"W3011316870","doi":"10.1177/2514848620907470","title":"Extraction, entanglements, and (im)materialities: Reflections on the methods and methodologies of natural resource industries fieldwork","year":2020,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Mining and Resource Management","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"York University","keywords":"Scholarship; Natural resource; Sociology; Materiality (auditing); Resource (disambiguation); Environmental ethics; Materialism; Social science; Aesthetics; Epistemology; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.08661694,0.001181234,0.001319708,0.01038208,0.01690191,0.02731256,0.004574453,0.003390019,0.00958256],"category_scores_gemma":[0.06362633,0.00122854,0.001044152,0.01108513,0.06385178,0.02019408,0.01548291,0.006408049,0.002026269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0110836,"about_ca_system_score_gemma":0.01157157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003141157,"about_ca_topic_score_gemma":0.009185085,"domain_scores_codex":[0.9171287,0.07128604,0.00222787,0.002849435,0.00512256,0.00138543],"domain_scores_gemma":[0.8030095,0.177175,0.00287361,0.01011034,0.005471851,0.001359681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003772921,0.00006901145,0.001058357,0.0009588705,0.00001795724,0.000524774,0.5994391,0.0002413252,0.0006501331,0.3248613,0.01144428,0.06069727],"study_design_scores_gemma":[0.00002234816,0.00006661731,0.00126026,0.004382394,0.00001682892,0.0004666741,0.3263367,0.0003468249,0.00123198,0.1540557,0.5117567,0.00005709623],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1061657,0.06039229,0.3868257,0.08359935,0.006549379,0.003631359,0.0008340715,0.0005367948,0.3514655],"genre_scores_gemma":[0.5527921,0.04063191,0.2869653,0.01165986,0.003180924,0.00821656,0.0004737753,0.00166293,0.09441662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9830981,"threshold_uncertainty_score":0.4580796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05840767459576207,"score_gpt":0.323641417477298,"score_spread":0.2652337428815359,"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."}}