{"id":"W3012171890","doi":"10.24908/ss.v18i1.13118","title":"Metadata, Jailbreaking, and the Cybernetic Governmentality of iOS: Or, the Need to Distinguish Digital Privacy from digital privacy","year":2020,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Metadata; Realm; Internet privacy; Computer science; Governmentality; World Wide Web; Privacy policy; Privacy by Design; Information privacy; Computer security; Law; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00597478,0.0004171571,0.000352605,0.002604969,0.007765246,0.0208411,0.001159773,0.005818516,0.007171563],"category_scores_gemma":[0.02060588,0.000443987,0.0005808715,0.002350593,0.0456078,0.03378884,0.009089757,0.008879879,0.001426902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004317674,"about_ca_system_score_gemma":0.00491165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003916163,"about_ca_topic_score_gemma":0.002964056,"domain_scores_codex":[0.9938083,0.002171842,0.0004093593,0.0008931819,0.001761441,0.0009559278],"domain_scores_gemma":[0.9801944,0.007665119,0.00364149,0.005564903,0.001800049,0.001134037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001909111,0.00001589382,0.001787837,0.0000822839,0.000004374337,0.0001316251,0.01873479,0.00006635353,0.0002645938,0.9554036,0.008641697,0.01484774],"study_design_scores_gemma":[0.00001187232,0.00004395109,0.002826476,0.001272988,0.0000224486,0.0008989975,0.03354033,0.000386619,0.002054989,0.4160747,0.5427827,0.00008399167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1206495,0.01419511,0.04308971,0.2543296,0.002932545,0.0001466014,0.0004750833,0.0007582916,0.5634235],"genre_scores_gemma":[0.9114329,0.00686951,0.007494396,0.02474047,0.001866845,0.0001335311,0.000211891,0.0004451652,0.04680524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9922348,"threshold_uncertainty_score":0.03159803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467626902350628,"score_gpt":0.2734942218213444,"score_spread":0.2488179527978381,"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."}}