{"id":"W2805454096","doi":"10.1111/hypa.12411","title":"“Everything Being Tangled Up in Every Other Thing”: Class, Desire, and Shame in Michelle Tea's<i>The Passionate Mistakes and Intricate Corruption of One Girl in America</i>","year":2018,"lang":"en","type":"article","venue":"Hypatia","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Shame; Memoir; Queer; Ambivalence; Sociology; Gender studies; Aesthetics; Psychology; Psychoanalysis; Social psychology; Art; Literature","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00158661,0.0003835871,0.000241812,0.0007667234,0.009341886,0.005730972,0.0005563969,0.001654435,0.002851219],"category_scores_gemma":[0.004548378,0.0001939829,0.0002098145,0.0004172484,0.01828238,0.004636181,0.002915568,0.003447503,0.0002615282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002150973,"about_ca_system_score_gemma":0.0009486389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057514,"about_ca_topic_score_gemma":0.005924497,"domain_scores_codex":[0.9982643,0.001258887,0.00002224634,0.00008971537,0.000187752,0.0001770896],"domain_scores_gemma":[0.9971169,0.00205394,0.0003467581,0.0001204803,0.000135355,0.0002265248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003436122,0.00001859641,0.0009751347,0.00007634691,0.000005871263,0.0004504769,0.90277,0.00004377032,0.0006493679,0.08300994,0.006047674,0.005918415],"study_design_scores_gemma":[0.000008388075,0.00007113488,0.002860917,0.0002858911,0.00001044249,0.0009791336,0.711805,0.0001200798,0.001236153,0.01531327,0.267275,0.00003458001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6237085,0.008353029,0.006451305,0.1021003,0.001907137,0.00005571544,0.000108772,0.0001249863,0.2571903],"genre_scores_gemma":[0.98387,0.0006747753,0.0002741142,0.001992258,0.0002025535,0.00002419844,0.000007055538,0.00004134272,0.01291386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009341886,"threshold_uncertainty_score":0.01560646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03355413478825856,"score_gpt":0.2828230618865417,"score_spread":0.2492689270982831,"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."}}