{"id":"W4285578941","doi":"10.4000/diasporas.5573","title":"Négocier l’accueil de réfugiés sans réfugiés. Mobilisation associative canadienne et catégorisation du réfugié durant la Seconde Guerre mondiale","year":2020,"lang":"fr","type":"article","venue":"Diasporas","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society for the History of Medicine","funders":"","keywords":"Refugee; Humanities; Political science; Ethnology; World War II; Art; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001768269,0.0003682988,0.0005321127,0.0003160209,0.001165137,0.0005040786,0.0004664835,0.0006292492,0.003907095],"category_scores_gemma":[0.001255106,0.0005388305,0.0003327704,0.001166644,0.001114418,0.001180277,0.00006750146,0.0007259556,0.0005877913],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005417882,"about_ca_system_score_gemma":0.003397059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9283181,"about_ca_topic_score_gemma":0.9791107,"domain_scores_codex":[0.9959153,0.001141089,0.000599009,0.0007004475,0.0005644826,0.001079699],"domain_scores_gemma":[0.9972752,0.0005031621,0.0005131264,0.0002760328,0.0002605548,0.001171863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002969683,0.0001468924,0.005187101,0.00008992793,0.0001411008,0.0001840566,0.9239433,0.0003004596,0.0002007557,0.01754319,0.0391023,0.01313119],"study_design_scores_gemma":[0.0008937549,0.0001181213,0.04676898,0.00006752436,0.0002389832,0.000009430083,0.6887129,0.0009353214,0.00005865037,0.00465157,0.2567707,0.0007740234],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407318,0.002793175,0.0002150401,0.03506351,0.002285092,0.0006046807,0.001039862,0.0001404447,0.01712638],"genre_scores_gemma":[0.9835135,0.001830052,0.0001509704,0.00609184,0.001561549,0.00006263449,0.0002545393,0.00006803875,0.006466898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2352304,"threshold_uncertainty_score":0.9997063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716900282540929,"score_gpt":0.2328896172676805,"score_spread":0.2157206144422712,"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."}}