{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009269593,0.0001027818,0.0002144256,0.000146752,0.0001245876,0.00003307275,0.0001295748,0.0001102403,0.00002864977],"category_scores_gemma":[0.0004050412,0.00008789217,0.00001896809,0.0004253991,0.0003981641,0.0001684046,0.00004124373,0.0001906211,0.00000406915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007043553,"about_ca_system_score_gemma":0.0001012646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0051592,"about_ca_topic_score_gemma":0.007725568,"domain_scores_codex":[0.9986884,0.0002798993,0.0002955876,0.0002320682,0.0002289379,0.000275121],"domain_scores_gemma":[0.9993222,0.0003167446,0.0001428208,0.0001145359,0.0000421623,0.00006152705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001567305,0.0002488657,0.3619896,0.00007831475,0.00001939793,0.00001429815,0.563942,0.00001033645,0.01353102,0.001449574,0.0005966589,0.05796318],"study_design_scores_gemma":[0.003400404,0.0002381186,0.818154,0.0008265027,0.00005033769,0.000005041086,0.1344197,0.002383875,0.003291761,0.01382492,0.02267876,0.0007266403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940639,0.0005706387,0.0000882795,0.0005996487,0.0001804657,0.0002465107,0.000003145439,0.0000151295,0.004232336],"genre_scores_gemma":[0.9983354,0.0003329498,0.0004173755,0.0004525204,0.00008217299,0.00001361929,0.000002030483,0.00001078107,0.0003531423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4561643,"threshold_uncertainty_score":0.7799202,"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."}}