{"id":"W1481759855","doi":"10.24908/ss.v12i3.4973","title":"Playdates with Big Brother: Playfully Repurposing Surveillance Cameras to Build Communities","year":2014,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technische Universiteit Delft; York University","keywords":"Repurposing; Software deployment; Context (archaeology); Brother; Computer science; Set (abstract data type); Process (computing); Big data; Computer security; Sociology; Engineering; Data mining; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002456313,0.0008500387,0.0002426813,0.0005407392,0.00144139,0.002040555,0.001588092,0.0008731917,0.005534795],"category_scores_gemma":[0.004436039,0.0003345467,0.0004284532,0.0001690059,0.002120303,0.003472738,0.004223476,0.0009090581,0.0006987053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007046336,"about_ca_system_score_gemma":0.0006866571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721335,"about_ca_topic_score_gemma":0.005718553,"domain_scores_codex":[0.9983565,0.001010432,0.00003694472,0.0001965847,0.0002353112,0.0001642142],"domain_scores_gemma":[0.9973866,0.001142313,0.0001890387,0.000408391,0.0002160706,0.0006576218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002274578,0.004732356,0.03149688,0.0008832824,0.0002361143,0.003979208,0.124387,0.01623801,0.1450539,0.1557793,0.02210732,0.4928321],"study_design_scores_gemma":[0.0005508637,0.006812626,0.02460361,0.0005689915,0.0002229642,0.005553671,0.08902911,0.1610183,0.1283505,0.05608866,0.5267527,0.0004479293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6860787,0.0001800788,0.2624286,0.00114258,0.0001857266,0.001011048,0.00008994523,0.001293724,0.04758951],"genre_scores_gemma":[0.8464071,0.00008964135,0.138868,0.0002297777,0.00002012723,0.0002440875,0.0001135982,0.000173204,0.01385461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9985586,"threshold_uncertainty_score":0.01851577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244791256568782,"score_gpt":0.2416567920734786,"score_spread":0.2292088795077908,"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."}}