{"id":"W4297903764","doi":"10.25071/1920-7336.40920","title":"Print Rights with a Thousand Masks: Migrant Vulnerability, Resistance and Human Rights Law","year":2022,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Human rights; Vulnerability (computing); Resistance (ecology); Law; Political science; Computer security; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004933351,0.0003545935,0.0002724282,0.001392412,0.01299432,0.01031779,0.0008524245,0.003205948,0.006534323],"category_scores_gemma":[0.008854876,0.0002149343,0.0001860403,0.001327921,0.03583932,0.007504015,0.007244329,0.003447827,0.0003130411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006258709,"about_ca_system_score_gemma":0.005717194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03043844,"about_ca_topic_score_gemma":0.03540558,"domain_scores_codex":[0.9955533,0.002872274,0.0001214792,0.0003281197,0.0005402953,0.0005844203],"domain_scores_gemma":[0.9942568,0.004141283,0.0007031148,0.0003145574,0.0002500209,0.0003343339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001251082,0.00003840619,0.002915683,0.00005828937,0.000003568791,0.0007626588,0.8147195,0.00004108999,0.0002772079,0.1717324,0.002075909,0.007362735],"study_design_scores_gemma":[0.000007089219,0.00002112864,0.002226865,0.000255171,0.000004631981,0.0003355696,0.9319498,0.00007953831,0.0002298543,0.01333534,0.05154167,0.00001339069],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7634654,0.004256235,0.001556769,0.04959483,0.0001639325,0.00004900738,0.00002955285,0.00002018312,0.1808641],"genre_scores_gemma":[0.9905306,0.0007426718,0.0001758092,0.001315911,0.0000276856,0.00001574101,0.000005472647,0.000009091755,0.007177137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03043844,"threshold_uncertainty_score":0.06052256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0098584325954881,"score_gpt":0.2647074618698572,"score_spread":0.2548490292743691,"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."}}