{"id":"W1988651080","doi":"10.2307/2672113","title":"Fiji Before The Storm: Elections and the Politics of Development.","year":2001,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; University of Sydney; Department of Foreign Affairs and Trade, Australian Government; United States Agency for International Development; Princeton University; Commonwealth Scientific and Industrial Research Organisation; University of Oxford; Ministry of Agriculture, Forestry and Fisheries; Australian National University","keywords":"Politics; Storm; Political science; Geography; Political economy; Development economics; Meteorology; Sociology; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001904601,0.0002725384,0.0001860265,0.001261375,0.008826071,0.006666386,0.0004794414,0.00256703,0.005173365],"category_scores_gemma":[0.00561562,0.0002254853,0.0001587314,0.00229917,0.0059081,0.00409148,0.002041988,0.002851547,0.000397275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006397365,"about_ca_system_score_gemma":0.004651022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04602907,"about_ca_topic_score_gemma":0.1128464,"domain_scores_codex":[0.9985215,0.0006047225,0.0000232233,0.00007413222,0.0001738235,0.0006026117],"domain_scores_gemma":[0.9982269,0.0009594316,0.0002774857,0.00004115086,0.000162689,0.0003322818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009241091,0.0000339278,0.007699841,0.0002604871,0.00002641372,0.000616594,0.0377644,0.0002765819,0.0001381986,0.6592795,0.2291154,0.06469628],"study_design_scores_gemma":[0.0000289519,0.00003286087,0.05067245,0.0005169127,0.00002390515,0.0001101606,0.01894941,0.00023887,0.00009581751,0.04575023,0.8835547,0.00002567076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05779048,0.07124132,0.0006053189,0.3970039,0.003809177,0.00003153576,0.000286787,0.00003189085,0.4691996],"genre_scores_gemma":[0.9007233,0.02624447,0.0002714323,0.01790212,0.002847205,0.00004533212,0.0001033374,0.00002057495,0.05184228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04602907,"threshold_uncertainty_score":0.09152228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293416449471535,"score_gpt":0.248490337862486,"score_spread":0.2355561733677706,"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."}}