{"id":"W3088167912","doi":"10.4000/elfe.2562","title":"De mémoire vulnérable : le massacre des Sioux dans Tristesse de la terre d’Éric Vuillard","year":2020,"lang":"fr","type":"article","venue":"ELFe XX-XXI","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312847,0.0004236992,0.0002272511,0.0007745502,0.01486496,0.005501747,0.0007422217,0.001875853,0.007295798],"category_scores_gemma":[0.002386999,0.0002312889,0.0001669889,0.0005958013,0.01321258,0.003705571,0.00525738,0.003490327,0.0006015793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006577173,"about_ca_system_score_gemma":0.004250385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09699406,"about_ca_topic_score_gemma":0.1766751,"domain_scores_codex":[0.9988716,0.0005310202,0.00001816054,0.0001419663,0.000224306,0.000212863],"domain_scores_gemma":[0.9993467,0.0002513526,0.00008441046,0.00004012122,0.0001218749,0.0001555222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005453472,0.00002271755,0.003039764,0.0001651617,0.000009710454,0.002097904,0.6659241,0.0000942289,0.00119064,0.262369,0.04233905,0.02269317],"study_design_scores_gemma":[0.000006456733,0.00003902712,0.004449495,0.000403722,0.000009651482,0.0008599447,0.2699417,0.00007432899,0.0005332811,0.01253754,0.7111155,0.00002935833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3110131,0.02681694,0.002317757,0.1189893,0.003243564,0.00006771435,0.0001147658,0.00006528709,0.5373716],"genre_scores_gemma":[0.8740317,0.006574943,0.0006920715,0.006394613,0.0004096334,0.00004435362,0.00003505111,0.00006494966,0.1117528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09699406,"threshold_uncertainty_score":0.192859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03511084708812072,"score_gpt":0.2677739632460909,"score_spread":0.2326631161579701,"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."}}