{"id":"W4404172432","doi":"10.1145/3687002","title":"Union Makes Us Strong: Space, Technology, and On-Demand Ridesourcing Digital Labour Platforms","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Space (punctuation); Business; Telecommunications; Computer science; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002603281,0.0001252567,0.0001245074,0.0003184299,0.0003303746,0.0007487386,0.0003978148,0.00009563041,0.00001008054],"category_scores_gemma":[0.00007413897,0.00009376009,0.00006797736,0.0003084066,0.000147802,0.00197642,0.0001252639,0.0002570035,0.00002037332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024626,"about_ca_system_score_gemma":0.00001319354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002220987,"about_ca_topic_score_gemma":0.00001160813,"domain_scores_codex":[0.9992139,0.000003147218,0.0002115568,0.0002157661,0.0001790207,0.0001766229],"domain_scores_gemma":[0.9996004,0.00007353295,0.0001137109,0.0001073447,0.00006772536,0.00003732563],"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":[0.00006002887,0.0001032124,0.004631215,0.000199526,0.00008460196,8.828441e-7,0.006778139,0.0001238898,0.0004703938,0.8542236,0.002222657,0.1311018],"study_design_scores_gemma":[0.001497004,0.002022498,0.01881215,0.008389524,0.0001109554,0.00006976479,0.02238783,0.005696865,0.04775903,0.6055301,0.2863643,0.001359867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618472,0.00001965797,0.0001057523,0.003356894,0.0004409292,0.0002112376,0.000005746894,0.0001595251,0.033853],"genre_scores_gemma":[0.9988524,0.00001234963,0.000106416,0.00006373227,0.0002525023,0.000008238038,0.000002131307,0.00001102221,0.0006912575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2841417,"threshold_uncertainty_score":0.7220104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399924177200033,"score_gpt":0.2942603425238164,"score_spread":0.2702611007518161,"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."}}