{"id":"W4415230578","doi":"10.1609/aies.v8i1.36526","title":"$100,000 or the Robot Gets It! Tech Workers’ Resistance Guide: Tech Worker Actions, History, Risks, Impacts, and the Case for a Radical Flank","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Canadian Institute for Advanced Research","keywords":"Newspaper; High tech; Resistance (ecology); Publishing; Work (physics); Perception; Project commissioning; Empirical research","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004509905,0.000174591,0.000253603,0.00002832401,0.002175906,0.0003917773,0.0006022282,0.0003500946,0.00002142458],"category_scores_gemma":[0.002211499,0.00008593368,0.0001771164,0.0002501212,0.002212233,0.000378657,0.0001235776,0.00101721,6.665033e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183863,"about_ca_system_score_gemma":0.0006886647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006380169,"about_ca_topic_score_gemma":0.001257483,"domain_scores_codex":[0.9987176,0.00007041509,0.0003616902,0.000268651,0.00027647,0.0003051755],"domain_scores_gemma":[0.9975681,0.001501379,0.0002404165,0.0001954071,0.0004179489,0.00007680455],"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":[0.0004977192,0.00006780124,0.0005648769,0.0003496635,0.0001798632,7.111174e-7,0.07681903,0.000001736197,0.00003347611,0.7490467,0.1568517,0.01558676],"study_design_scores_gemma":[0.001581724,0.00006380084,0.0006297988,0.001045655,0.0001738328,0.00001070394,0.08376606,0.0005922557,0.0001537511,0.08183984,0.8298457,0.0002969035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0255146,0.002792438,0.001249231,0.8182625,0.0006490431,0.003089917,0.00005803058,0.0001259853,0.1482583],"genre_scores_gemma":[0.975865,0.007507653,0.0007172009,0.005000878,0.00007538798,0.0001467027,0.000001193916,0.00001003149,0.01067595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9503504,"threshold_uncertainty_score":0.9991231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072260273839562,"score_gpt":0.3736605663863037,"score_spread":0.2664345390023474,"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."}}