{"id":"W4416483631","doi":"10.4018/979-8-3373-3830-9.ch002","title":"AI, Surveillance, and the Sacred","year":2025,"lang":"ng","type":"book-chapter","venue":"","topic":"Media, Religion, Digital Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Safeguarding; Cornerstone; Human rights; State (computer science); Religious freedom; Face (sociological concept)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000514239,0.0003894883,0.0005641407,0.0001378118,0.0008172062,0.001075412,0.0005183425,0.0001994093,0.001786576],"category_scores_gemma":[0.0001015663,0.0002461407,0.0001919747,0.00001608637,0.001835988,0.0001439358,0.0004259014,0.0005078463,0.0002096035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003118239,"about_ca_system_score_gemma":0.0001012896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007178601,"about_ca_topic_score_gemma":0.003824567,"domain_scores_codex":[0.9985092,0.0001092604,0.0005555245,0.0003268449,0.0002792192,0.0002199033],"domain_scores_gemma":[0.9971768,0.001203761,0.0002256015,0.001056135,0.0002705145,0.00006724484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007451895,0.000008054853,0.00001904139,0.00008066527,0.000131181,9.400395e-7,0.001091988,2.649529e-7,1.052306e-7,0.9343269,0.06044185,0.00382446],"study_design_scores_gemma":[0.0006287916,0.00002361493,0.00001924997,0.0001665422,0.00004839048,0.000002088318,0.00004034593,0.0001194513,5.981112e-7,0.2985811,0.7001464,0.0002234334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001159549,0.01373657,0.00004431975,0.004895533,0.0005204509,0.0006112428,0.0001065468,0.0000797342,0.979994],"genre_scores_gemma":[0.2044875,0.03077356,0.00001426069,0.002985703,0.0003595347,0.00002182549,0.0001660595,0.00003250776,0.761159],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6397046,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210503601559823,"score_gpt":0.2272551070316806,"score_spread":0.2062047468756983,"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."}}