{"id":"W2592578340","doi":"","title":"Digital Citizenship and Surveillance| Surveillance Culture: Engagement, Exposure, and Ethics in Digital Modernity","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Citizenship; Sociology; Visibility; Public relations; Modernity; State (computer science); Dimension (graph theory); Political science; Law; Computer science; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005067938,0.0002614293,0.0005519425,0.0002415276,0.001879045,0.01040185,0.002508276,0.0002507967,0.0002165235],"category_scores_gemma":[0.01104088,0.0002502481,0.00007288048,0.0002720358,0.0007799605,0.006424231,0.00225025,0.0009572727,0.000003781382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008548817,"about_ca_system_score_gemma":0.0001736285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280262,"about_ca_topic_score_gemma":0.003386029,"domain_scores_codex":[0.9971735,0.0005615395,0.0005338474,0.0005167623,0.000772621,0.000441743],"domain_scores_gemma":[0.9974051,0.0006612042,0.0007211072,0.0006144207,0.0003021643,0.0002960219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009808197,0.00007307533,0.9753884,0.0000569033,0.0000451782,0.00001681117,0.001989638,0.000001816167,0.0002872371,0.0003725635,0.003513484,0.01815683],"study_design_scores_gemma":[0.0006209264,0.00001228982,0.9235572,0.0001051722,0.000005762682,0.000004763694,0.0005106425,0.00002251438,0.0001091558,0.06769681,0.007000094,0.0003546912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580613,0.007824235,0.0002643911,0.0006777427,0.0004667151,0.0005804538,0.000358957,0.00004709294,0.0317191],"genre_scores_gemma":[0.9779211,0.02141006,0.00003528301,0.00008233653,0.0002267626,0.00001737693,0.00002450369,0.00002165468,0.0002609736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06732425,"threshold_uncertainty_score":0.999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3232342140647727,"score_gpt":0.5339785111220152,"score_spread":0.2107442970572426,"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."}}