{"id":"W4413906088","doi":"10.3986/traditio2025540205","title":"Digital Folklore and Digital Fieldwork: Researching Online Humour with Its Offline Context in Mind","year":2025,"lang":"en","type":"article","venue":"Traditiones","topic":"Folklore, Mythology, and Literature Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eston College","funders":"Eesti Kirjandusmuuseum","keywords":"Folklore; Context (archaeology); Online and offline; Art; Aesthetics; Literature; Anthropology; Sociology; History; Computer science; Archaeology","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":[0.00006584208,0.0001429838,0.0002082769,0.0001763155,0.0002673437,0.0004749471,0.0000931479,0.00003902711,0.0001026627],"category_scores_gemma":[0.00006390236,0.0001055772,0.0000339956,0.00006658785,0.0003332051,0.0005395066,0.00003675322,0.0002190638,0.000007947826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001100608,"about_ca_system_score_gemma":0.00002216251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001316971,"about_ca_topic_score_gemma":0.0009769384,"domain_scores_codex":[0.9992442,0.00001712434,0.0001889601,0.0002329346,0.0001093222,0.000207467],"domain_scores_gemma":[0.9995885,0.0001721513,0.00003186752,0.00009918047,0.00007346702,0.00003478701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005951573,0.0007214239,0.009901498,0.0002892791,0.0002765233,0.000230791,0.08290096,0.000007214049,0.00001299796,0.7949147,0.02085696,0.08929245],"study_design_scores_gemma":[0.003855052,0.0008900933,0.0530097,0.001295262,0.00007119436,0.00005805431,0.09161039,0.0001653727,0.00004855338,0.02985284,0.8183612,0.0007822909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7635386,0.003493037,0.00003140705,0.007742238,0.0002776,0.0002801521,0.0009341033,0.00005628785,0.2236466],"genre_scores_gemma":[0.9861231,0.0000370616,0.0000341563,0.000308841,0.0003334052,0.00001378341,0.0001928222,0.000009185013,0.01294761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7975042,"threshold_uncertainty_score":0.4579926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755104352562413,"score_gpt":0.2651871003048281,"score_spread":0.227636056779204,"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."}}