{"id":"W3044095195","doi":"10.1177/2399654420943593","title":"The borderization of waiting: Negotiating borders and migration in the 2011 Syrian civil conflict","year":2020,"lang":"en","type":"article","venue":"Environment and Planning C Politics and Space","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Negotiation; Precarity; Agency (philosophy); Invisibility; State (computer science); Political science; Irregular migration; Politics; Political economy; Armed conflict; Border Security; Sociology; Public administration; Law; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003203411,0.00005718516,0.00006285823,0.00001473694,0.0004287561,0.00009693665,0.00003849356,0.00003941112,0.000006036603],"category_scores_gemma":[0.0001114133,0.00003891995,0.000008306123,0.00003111712,0.0001476562,0.0000839713,0.000009907692,0.00006583305,3.492644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007401938,"about_ca_system_score_gemma":0.00001543935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505016,"about_ca_topic_score_gemma":0.0007802804,"domain_scores_codex":[0.9994345,0.0001110371,0.0001184284,0.00009264892,0.0001269468,0.0001163916],"domain_scores_gemma":[0.9996718,0.0001675484,0.00007244002,0.00003869946,0.000007415435,0.00004205207],"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":[0.00001486313,0.00002039953,0.1834873,0.00002884391,0.00001559899,9.577317e-7,0.4703079,0.0004322572,0.0007769963,0.3414013,0.00165827,0.001855291],"study_design_scores_gemma":[0.0005187259,0.0002038232,0.1403584,0.0000525951,0.00003931934,0.000001191477,0.1842616,0.06134693,0.00016654,0.001572281,0.6112298,0.0002488362],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863624,0.002011274,0.0005827967,0.009207614,0.00002915485,0.0001535342,0.00000437642,0.000005477246,0.001643396],"genre_scores_gemma":[0.9960993,0.003415422,0.00004477508,0.000200746,0.00008293978,0.000003201057,0.00001194788,0.000002992004,0.0001386786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6095716,"threshold_uncertainty_score":0.3297688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201563730216022,"score_gpt":0.2645496600294862,"score_spread":0.244393287007884,"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."}}