{"id":"W4311209568","doi":"10.1007/s12142-022-00674-0","title":"Bringing It All Together: Leveraging Social Movements and the Courts to Advance Substantive Human Rights and Climate Justice","year":2022,"lang":"en","type":"article","venue":"Human Rights Review","topic":"Environmental law and policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Justiciability; Human rights; Right to food; Political science; Jurisprudence; Social rights; Poverty; Social movement; Fundamental rights; Climate justice; Law and economics; Law; Sociology; Climate change; Environmental ethics; Politics; Food security; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001216056,0.0001699502,0.0003288513,0.00003188593,0.007703619,0.00008461674,0.0002647976,0.00002440105,0.0007344292],"category_scores_gemma":[0.000006160386,0.0001227573,0.00006906018,0.0001031364,0.0003637785,0.0001579254,0.0002499694,0.0001933058,0.00001944629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363694,"about_ca_system_score_gemma":0.000008011606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961038,"about_ca_topic_score_gemma":0.003136488,"domain_scores_codex":[0.9980239,0.000536113,0.0002889356,0.0003266341,0.000412161,0.0004122781],"domain_scores_gemma":[0.9994712,0.00009287113,0.0001548785,0.0001539404,0.00001389467,0.0001131535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000147193,0.0000509131,0.0001251817,0.000472793,0.00005192269,0.00002065276,0.03270206,0.000002094553,0.00005285101,0.9618737,0.003730846,0.0009023022],"study_design_scores_gemma":[0.0004680224,0.00002566367,0.000524686,0.0003461316,0.0001425188,0.000002901533,0.0003440813,0.000001760567,0.00001072783,0.01579726,0.9821166,0.0002195989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8188301,0.03598179,0.00001209644,0.006881105,0.0002778453,0.002646441,0.00006151589,0.0001046596,0.1352044],"genre_scores_gemma":[0.9807349,0.004805829,0.00005689785,0.008055843,0.000295531,0.000123157,0.00001493919,0.00002173792,0.005891097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9783858,"threshold_uncertainty_score":0.9935882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764314225608162,"score_gpt":0.3538427470399444,"score_spread":0.3161996047838628,"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."}}