{"id":"W4383681456","doi":"10.1145/3563657.3596091","title":"About being an “influencer” or how to exploit the tool of the oppressor for our own expression","year":2023,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Exploit; Proclamation; Identity (music); Computer science; Clothing; Expression (computer science); Embodied cognition; Biometrics; Internet privacy; Order (exchange); Computer security; Data science; Sociology; Political science; Business; Artificial intelligence; Law; Aesthetics; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0003966386,0.0001176874,0.0001214098,0.0001429605,0.0003246706,0.0001354054,0.001763728,0.00007497231,0.000009549637],"category_scores_gemma":[0.0004980468,0.00005567014,0.00005627556,0.0008442072,0.00004044555,0.0007747283,0.0006240606,0.000157282,0.00002483039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003303082,"about_ca_system_score_gemma":0.00004883795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007836079,"about_ca_topic_score_gemma":0.00001596293,"domain_scores_codex":[0.9989078,0.0000623148,0.0002051234,0.000323478,0.0002409033,0.0002603638],"domain_scores_gemma":[0.9984764,0.0001449866,0.0001395535,0.0009574235,0.0002563488,0.00002528253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009940418,0.00006995504,0.0005541763,0.00003758036,0.00003448332,0.000003978375,0.00879945,0.000291899,0.7039083,0.1961308,0.04787832,0.04219166],"study_design_scores_gemma":[0.0003168788,0.0003144467,0.002584814,0.0001383335,0.000005429257,0.000008320498,0.003770088,0.01414322,0.9523709,0.006722088,0.01942362,0.0002018547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7845256,0.000002818886,0.1935858,0.01900724,0.0009406443,0.0009194851,0.000004367028,0.0004457693,0.0005682795],"genre_scores_gemma":[0.982186,0.000001201754,0.01167296,0.001057739,0.00007979333,0.0003004419,0.000001207692,0.0000115704,0.004689104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2484626,"threshold_uncertainty_score":0.3277474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05978226739652886,"score_gpt":0.3386720117644281,"score_spread":0.2788897443678992,"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."}}