{"id":"W37384352","doi":"10.1007/978-94-007-4360-1_19","title":"Joining Up and Scaling Up: Analyzing Resistance to Canada’s “Dirty Oil”","year":2014,"lang":"en","type":"book-chapter","venue":"Cultural studies of science education","topic":"Mining and Resource Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; King's University College","funders":"","keywords":"Social movement; Environmental movement; Politics; Opposition (politics); Political economy; Dissent; Political science; Reactionary; Civil society; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002107553,0.0002841967,0.000307337,0.001828328,0.01873747,0.00915885,0.001860583,0.002609723,0.00509014],"category_scores_gemma":[0.01074392,0.0002195764,0.0002816971,0.004458504,0.008882519,0.002672179,0.003015279,0.004447041,0.0003293718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08323569,"about_ca_system_score_gemma":0.1238635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852691,"about_ca_topic_score_gemma":0.9929934,"domain_scores_codex":[0.9951919,0.0005082766,0.00006142845,0.0002328243,0.001451314,0.002554203],"domain_scores_gemma":[0.992661,0.001767122,0.000827329,0.0001946269,0.002273343,0.00227658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000207492,0.0001707899,0.1250547,0.0001517051,0.00005889904,0.0008835518,0.4728296,0.001434451,0.0006634888,0.2060809,0.07770301,0.1147614],"study_design_scores_gemma":[0.000012421,0.00004536106,0.125702,0.0003008728,0.00003426949,0.0000899402,0.6600613,0.0009719477,0.0003973983,0.006443351,0.2058782,0.00006287509],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7580244,0.001963702,0.0007074672,0.03289042,0.0001555033,0.00007933033,0.0003442306,0.00002853981,0.2058063],"genre_scores_gemma":[0.9702173,0.0007526353,0.0002512018,0.001940293,0.00001876344,0.00002394115,0.0001248134,0.00002878094,0.02664221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08323569,"threshold_uncertainty_score":0.60392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284230551194323,"score_gpt":0.2642093081442342,"score_spread":0.2357862530248019,"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."}}