{"id":"W2901758408","doi":"10.1080/13549839.2018.1536698","title":"Blocking pipelines, unsettling environmental justice: from rights of nature to responsibility to territory","year":2018,"lang":"en","type":"article","venue":"Local Environment","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"International Social Science Council","keywords":"Environmental justice; Blocking (statistics); Economic Justice; Pipeline transport; Political science; Sociology; Environmental resource management; Law and economics; Business; Law; Environmental science; Computer science; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006559772,0.0002378557,0.0003078031,0.00009029383,0.0007265866,0.00002571154,0.0004019236,0.0003055443,0.00151076],"category_scores_gemma":[0.00007452147,0.0002410543,0.00008587783,0.00009376219,0.0009169521,0.0001340662,0.0002478354,0.0003298868,0.0005805131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007553715,"about_ca_system_score_gemma":0.00005098497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507932,"about_ca_topic_score_gemma":0.002479183,"domain_scores_codex":[0.9971365,0.0002691754,0.0005017211,0.0006287629,0.000866514,0.000597353],"domain_scores_gemma":[0.9985414,0.0002872075,0.0001089291,0.0004939378,0.000006294945,0.0005621943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009129995,0.009822403,0.1214029,0.001541226,0.0006592959,0.0003052437,0.398616,0.02089997,0.2083778,0.02587141,0.0524926,0.1508812],"study_design_scores_gemma":[0.001021045,0.0009284593,0.1314618,0.0004608247,0.0003729819,0.000001604442,0.0356008,0.0004171105,0.02325726,0.001739591,0.8036253,0.001113199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988862,0.0007205227,0.004546124,0.002087446,0.0008481363,0.0006910036,0.0002599893,0.00004605161,0.001938712],"genre_scores_gemma":[0.9911803,0.0001860875,0.003848957,0.002864807,0.001257741,0.00003367058,0.00002743123,0.00002385562,0.0005771626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7511328,"threshold_uncertainty_score":0.999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080669603367878,"score_gpt":0.2981514180388414,"score_spread":0.2873447220051626,"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."}}