{"id":"W4393924755","doi":"10.1093/rsq/hdae004","title":"Rewriting Refugee Law: Centring Refugee Knowledges and Lived Experience","year":2024,"lang":"en","type":"article","venue":"Refugee Survey Quarterly","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Refugee; Centring; Plural; Rewriting; Displacement (psychology); Refugee law; Forced migration; Lived experience; Sociology; Law; Political science; Gender studies; Psychology; Computer science; Linguistics; Philosophy; Psychoanalysis; Visual arts; Art; Programming language","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003319358,0.0003511093,0.0003914965,0.0002254289,0.001125533,0.001079161,0.0003719072,0.0002921817,0.0002240629],"category_scores_gemma":[0.0005759417,0.0003284385,0.0001334323,0.0007093424,0.0004844262,0.001367015,0.00003522098,0.0004080425,0.0002150006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645339,"about_ca_system_score_gemma":0.0002584785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004921526,"about_ca_topic_score_gemma":0.07193157,"domain_scores_codex":[0.9956686,0.001348558,0.0006970483,0.0008646505,0.0006543835,0.0007666994],"domain_scores_gemma":[0.998073,0.000702496,0.0001443684,0.0004104108,0.0003479946,0.0003217098],"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":[0.0001193826,0.0001820254,0.01021843,0.0002973183,0.000137683,0.00005883277,0.2835832,0.00000276563,0.004171083,0.4776686,0.003812846,0.2197478],"study_design_scores_gemma":[0.0004768058,0.000508353,0.02046314,0.0007141374,0.0000486098,0.00001641738,0.01623915,0.0009465442,0.0009950473,0.00415164,0.9544067,0.001033436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791119,0.00506768,0.0005743721,0.000261096,0.001355684,0.0004339516,0.00004126716,0.0005700517,0.01258399],"genre_scores_gemma":[0.9935669,0.0004510042,0.0002934256,0.0001131507,0.0008934955,0.00005854226,0.00007238619,0.00005045232,0.004500694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9505939,"threshold_uncertainty_score":0.9999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430487471814683,"score_gpt":0.3461116838208279,"score_spread":0.301806809102681,"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."}}