{"id":"W4396929933","doi":"10.1080/08989575.2024.2337576","title":"Gathering Stories for Community Action","year":2024,"lang":"en","type":"article","venue":"a/b Auto/Biography Studies","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Andrew W. Mellon Foundation; Modern Language Association; National Endowment for the Humanities","keywords":"Storytelling; Media studies; Politics; Session (web analytics); Active listening; Visual arts; Sociology; Library science; History; Political science; Narrative; Law; Art; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01199467,0.001404081,0.00067968,0.00417401,0.0350648,0.02117731,0.002313696,0.006037456,0.04942908],"category_scores_gemma":[0.02515142,0.0006046676,0.0008101098,0.003137441,0.01182872,0.02073859,0.03029636,0.00927656,0.01158008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004463527,"about_ca_system_score_gemma":0.006487179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994595,"about_ca_topic_score_gemma":0.00724883,"domain_scores_codex":[0.9829352,0.01163897,0.0003722333,0.0008386112,0.00206315,0.002151813],"domain_scores_gemma":[0.9812474,0.005985273,0.0009782297,0.001945758,0.002107146,0.00773615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000459299,0.0001316298,0.0006120156,0.0004465648,0.00001835135,0.000740504,0.2758648,0.00007810704,0.000955726,0.08529805,0.5414633,0.09434509],"study_design_scores_gemma":[0.000004629856,0.00001983866,0.0001791526,0.0002274124,0.000002702294,0.0001641173,0.09509519,0.00002559295,0.0002017918,0.009503975,0.8945657,0.000009918312],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03214341,0.01802759,0.01617347,0.260928,0.03360902,0.001078877,0.0006252172,0.001217507,0.6361969],"genre_scores_gemma":[0.5050535,0.01852219,0.02943281,0.07259756,0.01306166,0.00221123,0.001793071,0.002497829,0.3548301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04942908,"threshold_uncertainty_score":0.1653567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.319981130458675,"score_gpt":0.5143708610791954,"score_spread":0.1943897306205204,"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."}}