{"id":"W4294834029","doi":"10.24908/ss.v20i3.15762","title":"From Privacy to Social Legibility","year":2022,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Legibility; Focus (optics); Internet privacy; Corporate governance; Sociology; State (computer science); Law and economics; Computer science; Business; Advertising","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":[0.01904126,0.0007301039,0.0007621127,0.002683691,0.00873177,0.01687688,0.001841882,0.007023415,0.007167551],"category_scores_gemma":[0.03106375,0.0005427832,0.001109861,0.00205676,0.09099646,0.02777536,0.02011044,0.01143792,0.0008793519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006776536,"about_ca_system_score_gemma":0.006505546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00409851,"about_ca_topic_score_gemma":0.002396354,"domain_scores_codex":[0.9780969,0.01225553,0.0008483718,0.002796936,0.004567755,0.001434517],"domain_scores_gemma":[0.9767761,0.01418422,0.001521721,0.004794623,0.001732925,0.0009903632],"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":[0.000004403215,0.000006175513,0.0001809014,0.00001686321,0.000003154582,0.00002926536,0.002879167,0.0001060379,0.00002530024,0.9924074,0.001227063,0.003114423],"study_design_scores_gemma":[0.000005935479,0.000009453785,0.0001684755,0.000132557,0.000003902388,0.00005587197,0.001716148,0.0001224284,0.00009601503,0.9564738,0.04120791,0.000007462771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03286403,0.01266078,0.09359748,0.3279492,0.001696598,0.0001339091,0.0002101858,0.0001588455,0.5307291],"genre_scores_gemma":[0.9384539,0.006412085,0.009816592,0.02153476,0.001922298,0.0002573791,0.0001171784,0.000141597,0.0213442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01904126,"threshold_uncertainty_score":0.100701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150949350031459,"score_gpt":0.3176664038194267,"score_spread":0.2861569103191121,"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."}}