{"id":"W3015653647","doi":"10.1093/fs/knaa068","title":"<i>Le Personnel est politique: médias, esthétique et politique de l’autofiction chez Christine Angot, Chloé Delaume et Nelly Arcan</i> . Par <scp>Mercédès Baillargeon</scp> <i>Le Personnel est politique: médias, esthétique et politique de l’autofiction chez Christine Angot, Chloé Delaume et Nelly Arcan</i> . Par BaillargeonMercédès. (Purdue Studies in Romance Literatures, 75.) West Lafayette: Purdue University Press, 2019. xii + 206 pp.","year":2020,"lang":"fr","type":"article","venue":"French Studies","topic":"French Literature and Critical Theory","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Humanities; Art; Metafiction; Politics; Art history; Literature; Postmodernism; Political science","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":[0.0008956374,0.0007201429,0.0003582886,0.0009831135,0.005493298,0.006211074,0.000724745,0.002037347,0.02275525],"category_scores_gemma":[0.001828028,0.0003946221,0.0001888423,0.002191265,0.006998438,0.005914906,0.00250741,0.00444385,0.00406762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006769402,"about_ca_system_score_gemma":0.00386871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04862533,"about_ca_topic_score_gemma":0.08022016,"domain_scores_codex":[0.9991801,0.0003952436,0.00001915446,0.0001134828,0.0001624391,0.0001294796],"domain_scores_gemma":[0.9994118,0.0003045118,0.00007065463,0.00003293466,0.00009077972,0.00008932869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001689911,0.00001411563,0.000400497,0.0002216971,0.000003537378,0.0001087163,0.02361378,0.0000344406,0.0000939054,0.1310531,0.8132993,0.03114006],"study_design_scores_gemma":[0.000002399825,0.000005174466,0.001141308,0.0003524918,0.00000191556,0.00008412634,0.007628317,0.00002216221,0.00004523425,0.004243844,0.9864667,0.000006429754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.005747261,0.4704369,0.0006473496,0.191507,0.006671306,0.00002163618,0.0001615427,0.00005810094,0.3247489],"genre_scores_gemma":[0.1665906,0.2193144,0.0008821886,0.02482036,0.009750796,0.0001712641,0.0002126566,0.0002987652,0.577959],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04862533,"threshold_uncertainty_score":0.09668458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849867876990545,"score_gpt":0.2622010346437397,"score_spread":0.2337023558738343,"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."}}