{"id":"W4281794327","doi":"10.1145/3532106.3533539","title":"Storywork &amp; Reciprocity: On the Design of an Audio Documentary that Extends HCI Research back to Participants","year":2022,"lang":"en","type":"article","venue":"Designing Interactive Systems Conference","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Reciprocity (cultural anthropology); Reciprocal; Participatory action research; Perspective (graphical); Citizen journalism; Participatory design; Reminiscence; Sociology; Blindness; Psychology; Computer science; Visual arts; World Wide Web; Social science; Linguistics; Engineering; Cognitive psychology; Art","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006053308,0.0003109839,0.0004290561,0.0008082136,0.0009388484,0.0003429121,0.002634345,0.00009008205,0.0004193114],"category_scores_gemma":[0.0006578455,0.000259891,0.00006524453,0.001415931,0.0002239801,0.001044218,0.0009890996,0.001590441,0.0003730813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008864297,"about_ca_system_score_gemma":0.0002878075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003364863,"about_ca_topic_score_gemma":0.00002523481,"domain_scores_codex":[0.9911385,0.005331573,0.0005815887,0.0009588574,0.001228875,0.0007605909],"domain_scores_gemma":[0.9943228,0.002585394,0.0005160136,0.001464284,0.0009922803,0.0001192029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002688244,0.00169833,0.001573716,0.0001324499,0.0009505423,0.0002213882,0.08934948,0.02850554,0.4479605,0.345309,0.06436565,0.01724522],"study_design_scores_gemma":[0.002836624,0.02010125,0.006456156,0.004117349,0.0001034754,0.0005838918,0.08393628,0.1687382,0.6084226,0.02311716,0.07777654,0.003810463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1865178,0.00002902286,0.8046025,0.00145076,0.00228183,0.001978558,0.00001600766,0.0001849569,0.00293852],"genre_scores_gemma":[0.9878471,0.000001583028,0.008892654,0.0003798253,0.0000655144,0.001230929,0.000006573446,0.00003011123,0.001545703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8013293,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3879994509671958,"score_gpt":0.4119525672857393,"score_spread":0.02395311631854347,"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."}}