{"id":"W4291803091","doi":"10.1145/3537797.3537880","title":"Justice-oriented Participatory Electronic Textile Making","year":2022,"lang":"en","type":"article","venue":"","topic":"Crafts, Textile, and Design","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Participatory design; Citizen journalism; Solidarity; Work (physics); Engineering ethics; Sociology; Process (computing); Participatory GIS; Economic Justice; Focus (optics); Textile; Knowledge management; Public relations; Engineering; Political science; Computer science; World Wide Web; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002555265,0.0001299262,0.0001407337,0.00009120263,0.001110608,0.00009508426,0.0001630966,0.00001530455,0.0713821],"category_scores_gemma":[0.00001647276,0.0001222164,0.0000836197,0.00005633483,0.00009363756,0.0001255543,0.0001027587,0.0002380478,0.0003520132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198117,"about_ca_system_score_gemma":0.00009417583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006916691,"about_ca_topic_score_gemma":0.0004415064,"domain_scores_codex":[0.9986919,0.00008148926,0.0002134257,0.0002372442,0.0002703817,0.0005055412],"domain_scores_gemma":[0.9995423,0.00007304193,0.00006023215,0.0002305819,0.00004230606,0.00005153578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003674066,0.0001265036,0.00003782225,0.00001588607,0.00002623915,0.00001122066,0.01728764,0.00008398732,0.00006629952,0.9086447,0.07200474,0.001658156],"study_design_scores_gemma":[0.0002555388,0.0001828614,0.00003488128,0.00000286894,0.00007062424,0.00000486632,0.02270867,0.001596327,0.00003492903,0.002583491,0.9723308,0.0001941072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1589742,0.0007084374,0.0007080579,0.0004019937,0.001997553,0.0003818641,0.00004395058,0.0006378138,0.8361461],"genre_scores_gemma":[0.9407744,0.000004445185,0.00001747558,0.00147643,0.0004448774,0.0001232197,0.00001291826,0.00002486234,0.05712133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9060613,"threshold_uncertainty_score":0.9294668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09791298741833417,"score_gpt":0.2942571172677487,"score_spread":0.1963441298494146,"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."}}