{"id":"W3092257803","doi":"10.5210/spir.v2020i0.11131","title":"IN THE SHADOWS OF THE DIGITAL ECONOMY: THE GHOST WORK OF INFRASTRUCTURAL LABOR","year":2020,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Digitization; Alienation; Shadow (psychology); Labor relations; Context (archaeology); Work (physics); Resistance (ecology); Labor disputes; Economy; Labour economics; Economics; Sociology; Engineering; Political science; Telecommunications; Law","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":[0.0006877086,0.00006933164,0.0001386982,0.00004874812,0.00008758219,0.0001019391,0.001092011,0.00005925294,0.0001825304],"category_scores_gemma":[0.0006112462,0.00003660126,0.00007377088,0.00151548,0.0008355193,0.0003656943,0.00007789352,0.0003499603,0.000008744267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003879266,"about_ca_system_score_gemma":0.0002583217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007920549,"about_ca_topic_score_gemma":0.001098503,"domain_scores_codex":[0.9987249,0.0002888754,0.0003236434,0.0001134345,0.0002988206,0.0002503384],"domain_scores_gemma":[0.9988371,0.000645454,0.0001027288,0.0001561867,0.000220328,0.0000382437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008125693,0.000223182,0.2097045,0.000200344,0.0002568635,0.000002707157,0.4874423,0.0002099153,0.0007372433,0.2127123,0.02263659,0.06506148],"study_design_scores_gemma":[0.001972023,0.001269064,0.3561524,0.000557677,0.0000334953,0.000003958269,0.1804042,0.0005111841,0.02076147,0.01343646,0.4243203,0.0005777638],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8013967,0.0000633763,0.000001350891,0.01303518,0.00003232608,0.0003868009,0.00001557542,0.000005361149,0.1850633],"genre_scores_gemma":[0.9993111,0.00001891397,0.000004760846,0.0002949006,0.00004355657,0.00001286115,0.00000441884,0.000004441194,0.0003050598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4016837,"threshold_uncertainty_score":0.3078506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362841786774382,"score_gpt":0.2968343785628466,"score_spread":0.2732059606951027,"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."}}