{"id":"W4380679999","doi":"10.1080/13510347.2023.2217090","title":"Repressing in the name of? Externalization dynamics in Turkey’s use of digital repression against refugees","year":2023,"lang":"en","type":"article","venue":"Democratization","topic":"Turkey's Politics and Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Civil society; Political science; Opposition (politics); Political economy; Politics; Sociology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006259761,0.00006083262,0.000116601,0.0001060362,0.0001100468,0.00009818141,0.0001447717,0.0000978656,0.000003638162],"category_scores_gemma":[0.0008951277,0.00005096794,0.00003978252,0.0008357976,0.0001077691,0.0004991626,0.00003344162,0.00007742174,0.00000117266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055439,"about_ca_system_score_gemma":0.00006705829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007316758,"about_ca_topic_score_gemma":0.0004753146,"domain_scores_codex":[0.998791,0.0002181167,0.0003537204,0.0001440565,0.0003401374,0.0001529962],"domain_scores_gemma":[0.9992935,0.0002269953,0.0001980869,0.0001721682,0.0000891245,0.00002014862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001746268,0.0001356097,0.7491618,0.00006731541,0.000008925047,0.000008879762,0.06997754,0.04474338,0.0004422627,0.1230664,0.0006341968,0.0117362],"study_design_scores_gemma":[0.0007750711,0.0000442471,0.3962025,0.0007971468,0.00001935394,6.697826e-7,0.02777894,0.5204561,0.0005607008,0.05000839,0.002973487,0.0003833942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950825,0.00002860281,0.001363733,0.0004499998,0.00009979999,0.0001961534,0.00001769009,0.00002791541,0.002733595],"genre_scores_gemma":[0.999203,0.0001485976,0.0001191397,0.0000375512,0.00003619329,0.000005757788,0.000125525,0.000007702138,0.0003165614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4757127,"threshold_uncertainty_score":0.2078412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448397765987578,"score_gpt":0.3277505280230788,"score_spread":0.293266550363203,"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."}}