{"id":"W4206799570","doi":"10.35650/jt.3015.d.2022","title":"Toward People’s Community Control of Technology: Race, Access, and Education","year":2022,"lang":"en","type":"report","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; University of Oxford; York University; University of Minnesota; U.S. Department of Commerce","keywords":"Digital divide; Sociology; Public relations; Harm; Democracy; Politics; The Internet; Political science; Narrative; Internet privacy; Information and Communications Technology; Computer science; World Wide Web; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004273101,0.0004134142,0.0007777243,0.002389911,0.002253081,0.006737139,0.001236677,0.002297048,0.004782711],"category_scores_gemma":[0.01103864,0.0001884458,0.0006030466,0.00335546,0.009384218,0.007550738,0.004689711,0.002506385,0.0003173097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002529097,"about_ca_system_score_gemma":0.006720369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088555,"about_ca_topic_score_gemma":0.01071583,"domain_scores_codex":[0.9959935,0.00232515,0.0002275362,0.0003579076,0.0007190669,0.0003768455],"domain_scores_gemma":[0.9927297,0.005008142,0.0008402987,0.0001804812,0.000732946,0.0005083388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004842109,0.0001144469,0.005947207,0.009003218,0.0001403153,0.0003043473,0.05488572,0.000296851,0.0002440357,0.2720279,0.02211373,0.6348739],"study_design_scores_gemma":[0.00002718279,0.0001656373,0.01636815,0.03719723,0.0001763066,0.0005236221,0.06207922,0.0002432643,0.0003893399,0.1071442,0.7756075,0.00007836595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01481454,0.8998358,0.001331431,0.04942217,0.002008477,0.00002964229,0.00003070323,0.00001374708,0.03251367],"genre_scores_gemma":[0.1879888,0.7974527,0.000575098,0.008741298,0.00171706,0.0001018618,0.00004309342,0.00001618869,0.003363822],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9977469,"threshold_uncertainty_score":0.02259856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07251760723251295,"score_gpt":0.4091018992943849,"score_spread":0.336584292061872,"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."}}