{"id":"W3145102013","doi":"10.3390/socsci10040123","title":"The Border Harms of Human Displacement: Harsh Landscapes and Human Rights Violations","year":2021,"lang":"en","type":"article","venue":"Social Sciences","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Human rights; Scholarship; Negotiation; Agency (philosophy); Argument (complex analysis); Displaced person; Sociology; Political science; Law; Criminology; Law and economics; Political economy; Refugee; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000775777,0.00005930635,0.00008705289,0.00002882601,0.008808789,0.0002612867,0.0001679375,0.00005058582,0.0002892362],"category_scores_gemma":[0.00006689259,0.00003926911,0.00004334132,0.0003867552,0.0008723935,0.0003006696,0.00002425088,0.00005512848,0.000002733442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002254187,"about_ca_system_score_gemma":0.0001155104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00350564,"about_ca_topic_score_gemma":0.1983393,"domain_scores_codex":[0.99891,0.0001823496,0.0001758238,0.0001609344,0.0003882835,0.0001826697],"domain_scores_gemma":[0.9995742,0.00008461006,0.0001042568,0.00005378807,0.000148669,0.00003442244],"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":[0.000001001797,0.00002924925,0.01046719,0.000002511081,0.000008221125,1.627006e-7,0.02579296,7.136655e-7,0.001915985,0.9587283,0.002323413,0.0007303573],"study_design_scores_gemma":[0.0004139328,0.0001525638,0.1021697,0.0000408487,0.00005049803,4.81878e-7,0.04406071,0.00009601185,0.003667668,0.187344,0.6616601,0.0003433825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359682,0.0002500924,0.00004208944,0.001992724,0.0001672088,0.0001153507,0.000006806038,0.00002136396,0.06143614],"genre_scores_gemma":[0.9961346,0.00004496499,0.00003147334,0.00003669782,0.000246699,0.000008129751,0.000008961038,0.000001855974,0.003486564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7713842,"threshold_uncertainty_score":0.9924816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238545693476125,"score_gpt":0.3823754198238736,"score_spread":0.3585208504762611,"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."}}