{"id":"W4402954004","doi":"10.1145/3678884.3681829","title":"Worker Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Universitas Brawijaya","keywords":"Accountability; Inequality; Computer science; Computer security; Political science; Mathematics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001754646,0.0002099908,0.000325293,0.0001029867,0.0002432092,0.001364919,0.0006560248,0.000220458,0.0001796364],"category_scores_gemma":[0.0003174712,0.0001979832,0.00005191928,0.0002690189,0.0002674545,0.0005808031,0.001528655,0.0003366244,0.0001140523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167925,"about_ca_system_score_gemma":0.0006814778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0100653,"about_ca_topic_score_gemma":0.03519506,"domain_scores_codex":[0.998229,0.0001562767,0.0003625086,0.0006866289,0.0002713361,0.0002942311],"domain_scores_gemma":[0.9987533,0.0003364348,0.00006654433,0.0005862701,0.0001065226,0.0001509125],"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":[0.0003219683,0.0002721096,0.005375145,0.00137237,0.0005657816,0.000005451511,0.2291034,0.0001120097,0.00001284867,0.4275042,0.05356616,0.2817886],"study_design_scores_gemma":[0.0003586288,0.0001139139,0.002605509,0.0006069094,0.00006289747,0.00000179097,0.07334633,0.0005743012,0.00008630865,0.4852746,0.4356634,0.00130549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2301438,0.0006600892,0.0003168867,0.01200193,0.001562114,0.001418849,0.0009721523,0.0002724977,0.7526517],"genre_scores_gemma":[0.9860353,0.000296004,0.0002778373,0.0003460661,0.0002416858,0.00008869979,0.0001400459,0.00001569226,0.01255866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7558915,"threshold_uncertainty_score":0.9996718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05782820067493615,"score_gpt":0.3531304006978285,"score_spread":0.2953022000228924,"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."}}