{"id":"W1853012205","doi":"10.15353/joci.v11i3.2702","title":"Teaching Open Data for Social Movements: a Research Strategy","year":2015,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizen journalism; Open data; Participatory action research; Action (physics); Open research; Action research; Informatics; Computer science; Sociology; Data science; Political science; World Wide Web; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.03435297,0.00005869829,0.0001768505,0.00006980104,0.003077985,0.0003356952,0.005569377,0.00007414861,0.000008625386],"category_scores_gemma":[0.004778172,0.0000416888,0.00003204045,0.0001642519,0.0004308895,0.001307833,0.001197274,0.001393861,0.000007154487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713384,"about_ca_system_score_gemma":0.00133014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009266363,"about_ca_topic_score_gemma":0.001095599,"domain_scores_codex":[0.9950418,0.00331591,0.0005099687,0.00000741825,0.0008094868,0.0003154559],"domain_scores_gemma":[0.9954949,0.002685171,0.00040036,0.0004244593,0.000834183,0.0001609524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000051385,0.00007573603,0.00004673181,0.00001638332,0.00003903094,7.249643e-8,0.8926272,0.000006825456,0.000001776172,0.02336613,0.07484818,0.008920584],"study_design_scores_gemma":[0.000411006,0.0001444896,0.00002209419,0.00001562697,0.0000175776,0.000001489913,0.70544,0.00005344356,0.000003751203,0.04675821,0.2470955,0.00003689483],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8655073,0.00005086277,0.001176814,0.009546045,0.0005813863,0.0006773178,0.00008589527,0.00001315796,0.1223612],"genre_scores_gemma":[0.9972333,0.00003968008,0.0006300631,0.0008795062,0.0008316475,0.000002491239,0.00001611962,0.000007055909,0.0003601729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871872,"threshold_uncertainty_score":0.999811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6117241932458793,"score_gpt":0.5599964652671225,"score_spread":0.0517277279787568,"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."}}