{"id":"W7018182782","doi":"","title":"Cruel, Convenient, and Intimate Publics: Berlant's Lessons for Loneliness and Digital Media Commons","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Loneliness; Digital media; Social media; Journalism; Government (linguistics); Work (physics)","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":[0.005723771,0.0007549928,0.00103142,0.002118104,0.01692732,0.01678076,0.002213238,0.00653441,0.01645953],"category_scores_gemma":[0.008929916,0.0004777855,0.0005476197,0.001495489,0.04980848,0.02615325,0.01039191,0.01160239,0.001673541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00756483,"about_ca_system_score_gemma":0.005709033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04057397,"about_ca_topic_score_gemma":0.05247816,"domain_scores_codex":[0.9964181,0.002259033,0.00005509537,0.0003246412,0.0002939503,0.0006491118],"domain_scores_gemma":[0.9927764,0.004684284,0.0003991243,0.0003591579,0.0004747857,0.001306273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000093793,0.0001501424,0.001669224,0.0001693886,0.00002003206,0.0005370372,0.4329486,0.0001027722,0.00007909552,0.4632326,0.07410882,0.02688846],"study_design_scores_gemma":[0.00003970509,0.00002777692,0.002757154,0.000600819,0.00002034235,0.0004322368,0.4555891,0.0001265633,0.0001213425,0.2096193,0.330622,0.00004361413],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08215841,0.02938335,0.001920422,0.5324013,0.002381532,0.00004407737,0.0001155182,0.00005790088,0.3515375],"genre_scores_gemma":[0.9124626,0.01109431,0.0006625656,0.02401761,0.0009786068,0.0001072358,0.0000353089,0.000144967,0.05049684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04057397,"threshold_uncertainty_score":0.0806756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372078784520035,"score_gpt":0.2962794085458867,"score_spread":0.2590715300938832,"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."}}