{"id":"W2768831782","doi":"10.1163/18763375-00903005","title":"“Standoffish” Policy-making: Inaction and Change in the Lebanese Response to the Syrian Displacement Crisis","year":2017,"lang":"en","type":"article","venue":"Middle East Law and Governance","topic":"Middle East Politics and Society","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Refugee crisis; State (computer science); Political science; Syrian refugees; Development economics; Forced migration; Government (linguistics); Autonomy; Population; Political economy; Per capita; Economic growth; Law; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0126772,0.0003450658,0.0002896777,0.0008930687,0.01113912,0.0105679,0.0009960097,0.003379653,0.003959382],"category_scores_gemma":[0.006319243,0.0002226742,0.0002624374,0.0007823306,0.01799137,0.002860158,0.007477727,0.003986999,0.0002421442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01665163,"about_ca_system_score_gemma":0.01644477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02398004,"about_ca_topic_score_gemma":0.03815635,"domain_scores_codex":[0.9912527,0.005323352,0.0001950044,0.0003079157,0.0003549233,0.002566083],"domain_scores_gemma":[0.9974022,0.001021248,0.0004752126,0.000102589,0.0003115765,0.0006870991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001781078,0.000259086,0.0196408,0.0002141042,0.00004333169,0.003730283,0.3527265,0.001294143,0.002346813,0.5788262,0.009522259,0.03121836],"study_design_scores_gemma":[0.0000738923,0.0001933133,0.03310531,0.0006684519,0.00002651208,0.0002954091,0.6582199,0.001753819,0.001581586,0.09960496,0.2043761,0.0001007157],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8066487,0.002871631,0.001296501,0.1120035,0.0004337654,0.00009758084,0.00003014366,0.0000179791,0.07660013],"genre_scores_gemma":[0.9920449,0.000423206,0.0001878617,0.00301487,0.00005623423,0.00001765972,0.000006320133,0.000005398987,0.004243475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02398004,"threshold_uncertainty_score":0.1208166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05256442119673584,"score_gpt":0.3278434430484249,"score_spread":0.2752790218516891,"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."}}