{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703125,0.0003947126,0.00036556,0.00111693,0.008542109,0.006219727,0.0005855173,0.002246128,0.003361248],"category_scores_gemma":[0.002986213,0.0002026397,0.0002243308,0.001195366,0.03578664,0.005621278,0.01047407,0.00278108,0.0001625061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003489934,"about_ca_system_score_gemma":0.002730612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004701939,"about_ca_topic_score_gemma":0.007672164,"domain_scores_codex":[0.9978886,0.001380907,0.00005125953,0.0001021459,0.0001688511,0.0004082374],"domain_scores_gemma":[0.998499,0.000689371,0.0004219699,0.0001122681,0.00009534887,0.0001820481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005294788,0.00009599755,0.01322124,0.0002489084,0.00001934316,0.001708722,0.5702223,0.0003349981,0.0003471031,0.3857657,0.004385534,0.0235971],"study_design_scores_gemma":[0.000007218339,0.00005805746,0.0133342,0.0004599045,0.000009356346,0.0006967629,0.8905257,0.0001735174,0.000187131,0.05916076,0.03537229,0.00001509835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089005,0.009989719,0.00276439,0.0376693,0.0003793428,0.00004558034,0.00004071912,0.00001617964,0.1401942],"genre_scores_gemma":[0.9957132,0.002030039,0.0001436483,0.000679233,0.00006384023,0.00001304099,0.000005835088,0.000003074969,0.001348007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008542109,"threshold_uncertainty_score":0.0253213,"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."}}