{"id":"W3141204095","doi":"10.5210/fm.v26i4.11649","title":"Screenshot, save, share, shame: Making sense of new media through screenshots and public shame","year":2021,"lang":"en","type":"article","venue":"First Monday","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shame; Thematic analysis; Social media; Sociology; Psychology; Media studies; Public relations; Social psychology; Qualitative research; Political science; Computer science; World Wide Web; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00892887,0.0008925067,0.0004172762,0.002084095,0.01335279,0.007820154,0.001226603,0.002645933,0.004351339],"category_scores_gemma":[0.01941504,0.0005225971,0.0005092669,0.0011863,0.03431784,0.01183431,0.01021969,0.003902085,0.0004880683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003507008,"about_ca_system_score_gemma":0.002017487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004453854,"about_ca_topic_score_gemma":0.007568128,"domain_scores_codex":[0.9871987,0.01042435,0.000155336,0.0003810365,0.001064924,0.0007756468],"domain_scores_gemma":[0.9755595,0.02027974,0.001462093,0.001124921,0.000817893,0.0007558353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003174201,0.00001265097,0.0006790511,0.00008736827,0.000004871672,0.0004287599,0.9830062,0.00002809042,0.0008148916,0.01033546,0.001110913,0.003460112],"study_design_scores_gemma":[0.000004555014,0.00002512795,0.000856212,0.0001784247,0.000007765411,0.0003537988,0.9549459,0.0000672614,0.0007008364,0.00287135,0.03997064,0.00001804153],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8554937,0.002228936,0.01234862,0.01753707,0.0006038775,0.0001934155,0.0002182324,0.000165943,0.1112103],"genre_scores_gemma":[0.9910029,0.0004933786,0.001048631,0.0008469922,0.00008877531,0.00009490318,0.00003541406,0.00008097327,0.006308067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335279,"threshold_uncertainty_score":0.04722095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102436326535379,"score_gpt":0.3226025848392848,"score_spread":0.2123589521857469,"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."}}