{"id":"W4388861995","doi":"10.1093/jcmc/zmad042","title":"Codesigning community networking literacies with rural/remote Northern Indigenous communities in Northwest Territories, Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Computer-Mediated Communication","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Innovation, Science and Economic Development Canada","keywords":"Indigenous; Citizen journalism; Literacy; Work (physics); Hacker; Digital divide; Digital literacy; Sovereignty; Geography; Public relations; Sociology; Political science; The Internet; World Wide Web; Engineering; Computer science; Computer security; Pedagogy; Ecology; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.002641516,0.0003722224,0.0006320768,0.0007877321,0.001148246,0.0005282672,0.005960791,0.0001301712,0.000001463021],"category_scores_gemma":[0.00006585739,0.0003471736,0.00007663883,0.002145834,0.000223672,0.001198729,0.001477702,0.002269763,0.000003608395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007556134,"about_ca_system_score_gemma":0.001540294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5586428,"about_ca_topic_score_gemma":0.9109423,"domain_scores_codex":[0.9945071,0.002719042,0.001230366,0.0001071252,0.0008138692,0.0006225445],"domain_scores_gemma":[0.9918755,0.003754656,0.00114391,0.002149157,0.0009280413,0.0001487356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002453714,0.0005842178,0.3268987,0.0003455782,0.000652854,0.0004537315,0.382022,0.09074775,0.00005872531,0.001020386,0.001695893,0.1952748],"study_design_scores_gemma":[0.006940274,0.002852922,0.4886515,0.01224681,0.0001048402,0.001904684,0.05558921,0.36494,0.0003114904,0.007270643,0.05574091,0.00344674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607344,0.001084478,0.03495755,0.001569699,0.000921594,0.0002906655,0.0000164953,0.0002745809,0.0001505136],"genre_scores_gemma":[0.9732591,0.0009263191,0.02491607,0.0003765209,0.0001466926,0.000007338408,0.0003155617,0.00004162587,0.0000107951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3522995,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853540846700571,"score_gpt":0.2262200974285567,"score_spread":0.207684688961551,"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."}}