{"id":"W2930608562","doi":"10.15353/joci.v14i2-3.3411","title":"Participatory Collaboration Mapping in Malawi: Making Mike’s Community Informatics Idea(l)s Work","year":2018,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Tribute; Citizen journalism; Participatory action research; Informatics; Work (physics); Reflection (computer programming); Sociology; Key (lock); Library science; Computer science; World Wide Web; Political science; Engineering; Art; Art history; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02794036,0.0006926034,0.0005649608,0.002519672,0.02375416,0.01715915,0.002444301,0.006430777,0.004389324],"category_scores_gemma":[0.02217467,0.0006749829,0.0005991171,0.001751011,0.04585624,0.02038954,0.0211653,0.009220493,0.0005319993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01131071,"about_ca_system_score_gemma":0.009952508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02444606,"about_ca_topic_score_gemma":0.03052424,"domain_scores_codex":[0.9808438,0.01530413,0.0002794084,0.0007876153,0.001104006,0.001680898],"domain_scores_gemma":[0.9799571,0.01358696,0.0007429933,0.001103912,0.001951351,0.00265767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004456325,0.0001029541,0.002493745,0.0002802661,0.00002256065,0.001186401,0.3116652,0.000539076,0.0005285251,0.6298527,0.01598608,0.03729806],"study_design_scores_gemma":[0.00004019248,0.0001599816,0.001695287,0.001158349,0.00002687778,0.0008078567,0.3209198,0.002124744,0.0009866712,0.2289881,0.4429873,0.0001047944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09679174,0.0101523,0.1041611,0.67395,0.003316046,0.000549215,0.00009035775,0.0002082511,0.110781],"genre_scores_gemma":[0.9140185,0.003227117,0.04082365,0.02280974,0.0004633457,0.0007593759,0.00003982873,0.00009408002,0.01776432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02794036,"threshold_uncertainty_score":0.1477645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09669425119344582,"score_gpt":0.3075356076861195,"score_spread":0.2108413564926737,"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."}}