{"id":"W4403473537","doi":"10.54337/nlc.v7.9207","title":"Who's taming who? Tensions between people and technologies in cyberspace communities","year":2010,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Networked Learning","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cyberspace; Internet privacy; Political science; Media studies; Sociology; Public relations; The Internet; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01468055,0.0004021838,0.0005194772,0.003675012,0.01784063,0.01754049,0.001212937,0.00296567,0.003386959],"category_scores_gemma":[0.02542018,0.0004909596,0.0004453523,0.002430736,0.03183918,0.03578841,0.01395846,0.003688154,0.000450342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003886215,"about_ca_system_score_gemma":0.003249138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004672419,"about_ca_topic_score_gemma":0.004371017,"domain_scores_codex":[0.9845487,0.01173646,0.0003278159,0.0009938885,0.001320692,0.001072387],"domain_scores_gemma":[0.9830872,0.01099492,0.001485109,0.001087852,0.001001451,0.002343595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002050666,0.00002503917,0.004000728,0.00007061696,0.0000126957,0.0002400808,0.9097975,0.00005215024,0.0002415345,0.07096116,0.001318059,0.01325985],"study_design_scores_gemma":[0.000007234655,0.0000187682,0.001305264,0.0001854658,0.00001186101,0.0001914521,0.9178775,0.0002087515,0.0001722514,0.03737374,0.04262664,0.00002101245],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661488,0.006331668,0.01480769,0.09065171,0.0008345667,0.0001409375,0.00005478489,0.0001034519,0.1209263],"genre_scores_gemma":[0.9952129,0.000714974,0.000714034,0.001173026,0.00005425589,0.00003733621,0.000007523282,0.00002820603,0.002057757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01784063,"threshold_uncertainty_score":0.0776391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04328873285611166,"score_gpt":0.3140383420564292,"score_spread":0.2707496092003175,"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."}}