{"id":"W2780184786","doi":"10.15353/joci.v14i1.3407","title":"Margin to Margin: Arts-Based Research for Digital Outreach to Marginalised Communities","year":2018,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Exhibition; Context (archaeology); Margin (machine learning); Empowerment; The arts; Situated; Inclusion (mineral); Visual arts; Sociology; Mediation; Geography; Political science; Social science; Archaeology; Art; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009870426,0.0001288878,0.0002444899,0.0002470315,0.003183161,0.0005370898,0.001850419,0.00008308599,0.0001752728],"category_scores_gemma":[0.001032392,0.00008585181,0.00008494677,0.0006264667,0.0006233934,0.000519774,0.0003360262,0.0009340554,0.00006075936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122379,"about_ca_system_score_gemma":0.0004633775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146707,"about_ca_topic_score_gemma":0.00307654,"domain_scores_codex":[0.9973269,0.0006684614,0.0006513818,0.000009872747,0.000868624,0.0004747956],"domain_scores_gemma":[0.9948083,0.002118142,0.0002563623,0.0004595115,0.002074996,0.0002827515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003135789,0.00007556137,0.0002873928,0.00002167878,0.00003429092,1.272391e-7,0.5546966,0.00008195889,0.000005979525,0.0006237085,0.4341271,0.009732025],"study_design_scores_gemma":[0.0002398349,0.0004719126,0.0003771473,0.00009446094,0.000008856976,0.000003418863,0.469773,0.00002485804,0.00008412253,0.0004827529,0.5283602,0.00007936407],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269443,0.00001657406,0.002311831,0.04154235,0.0002570855,0.0006903266,0.00004338254,0.00002119609,0.02817295],"genre_scores_gemma":[0.9921057,0.00001744124,0.001326658,0.002281163,0.0002780777,0.00001055492,0.0000114849,0.00001032761,0.00395857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0942332,"threshold_uncertainty_score":0.9981146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.359105507686606,"score_gpt":0.4450686591414652,"score_spread":0.08596315145485911,"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."}}