{"id":"W7027810131","doi":"","title":"Detoxifying Masculinity through Social Media : A Netnographic Case Study of Professor Neil’s Instagram Channel and Affective Publics","year":2024,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Masculinity; Hegemonic masculinity; Social media; Publics; Field (mathematics); CONTEST; Content analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007050512,0.0002656352,0.0005650214,0.001009765,0.0002086101,0.00005526011,0.0003693691,0.000486032,0.0000502995],"category_scores_gemma":[0.002735896,0.0002143156,0.0001100708,0.003130123,0.001401369,0.0005738739,0.0007606405,0.001131421,0.00000478307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007052119,"about_ca_system_score_gemma":0.0003730435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004840768,"about_ca_topic_score_gemma":0.0003764134,"domain_scores_codex":[0.9974758,0.00006052064,0.0006585703,0.0006751914,0.0006901759,0.000439765],"domain_scores_gemma":[0.998107,0.0001597479,0.0001978743,0.0006422643,0.0006710792,0.0002220657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001793352,0.02696365,0.02437676,0.01603246,0.004768578,0.005426632,0.02293336,0.00000328575,0.01621164,0.1624121,0.04293998,0.6761382],"study_design_scores_gemma":[0.06026785,0.01660195,0.03449777,0.008001247,0.006797388,0.00713539,0.2084842,0.03559786,0.08584256,0.02190167,0.5084741,0.006398031],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832788,0.0007879952,0.0007969877,0.01208659,0.0002674517,0.001312822,0.0003624063,0.0003994135,0.0007075203],"genre_scores_gemma":[0.9973521,0.000163794,0.00135842,0.00009465184,0.0001318953,0.0003013307,0.0005123342,0.00002528,0.00006019919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6697402,"threshold_uncertainty_score":0.8739535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06828220022633064,"score_gpt":0.3602100942998198,"score_spread":0.2919278940734892,"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."}}