{"id":"W2064846460","doi":"10.1145/2559206.2581241","title":"Designing for negative affect and critical reflection","year":2014,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transformative learning; Affordance; Feeling; Affect (linguistics); Process (computing); Suite; Rhetorical question; Psychology; Reflection (computer programming); Critical reflection; Sociology; Individualism; Social psychology; Pedagogy; Computer science; Cognitive psychology; Political science; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.000287831,0.00005932198,0.00006763173,0.0001085758,0.0001512839,0.00006744859,0.0001110256,0.00005424281,0.000005377345],"category_scores_gemma":[0.0007336725,0.0000527173,0.00001372529,0.0001468844,0.00006454232,0.0004328956,0.00004968553,0.00009202483,0.00001030126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002718532,"about_ca_system_score_gemma":0.000006627311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004047853,"about_ca_topic_score_gemma":0.000006179988,"domain_scores_codex":[0.9994866,0.0000482421,0.00008126102,0.0002095012,0.00004907251,0.0001253145],"domain_scores_gemma":[0.9990746,0.0006273958,0.00002571863,0.0001211713,0.0001362112,0.00001491732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005933463,0.000009710277,0.00006591053,0.000006596308,0.000004750564,2.454532e-7,0.0001430565,9.939604e-7,0.04070717,0.9420761,0.0006889328,0.01629057],"study_design_scores_gemma":[0.0003566974,0.0008198188,0.001116087,0.00002145327,0.00000528967,0.0000376451,0.00006758921,0.0968208,0.6302067,0.2687908,0.001590519,0.0001666317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01133275,0.0000022715,0.9806439,0.001549939,0.0002445248,0.0001162754,9.322625e-8,0.000215053,0.005895237],"genre_scores_gemma":[0.7188385,1.765099e-7,0.2806695,0.0002957665,0.00003436796,0.00002686631,1.764487e-7,0.000002833603,0.0001319118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7075057,"threshold_uncertainty_score":0.2149749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078364535909372,"score_gpt":0.355968195456958,"score_spread":0.3151845500978642,"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."}}