{"id":"W4387122642","doi":"10.18357/anthropologica65120231069","title":"“Not a Major or Complicated Task”: Activating Dugnad under COVID-19 and the Imagination of Equality in the Norwegian Welfare State","year":2023,"lang":"en","type":"article","venue":"Anthropologica","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Norwegian; Government (linguistics); Welfare state; Welfare; Inequality; Health care; The Imaginary; Sociology; State (computer science); Pandemic; Socioeconomic status; Political science; Economic growth; Coronavirus disease 2019 (COVID-19); Psychology; Politics; Law; Economics; Medicine; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0169084,0.0004771724,0.0003505698,0.000583764,0.01459183,0.008491155,0.001079514,0.003535705,0.002045569],"category_scores_gemma":[0.007810122,0.0003182865,0.0003656744,0.000406432,0.04922879,0.00639802,0.01185085,0.005222117,0.0002412864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01687784,"about_ca_system_score_gemma":0.0190823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09966381,"about_ca_topic_score_gemma":0.1242231,"domain_scores_codex":[0.9834351,0.01240528,0.000255987,0.0007136845,0.001043122,0.002146706],"domain_scores_gemma":[0.9964868,0.001648836,0.0003405718,0.0001826356,0.0004038165,0.0009374383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006428504,0.0000357502,0.00272645,0.00007563151,0.000005936801,0.0008296031,0.4694301,0.0002541887,0.000271839,0.5096163,0.008196549,0.008493361],"study_design_scores_gemma":[0.00002111208,0.00007479815,0.00236978,0.000498185,0.000008750199,0.000241541,0.6758676,0.0002840227,0.0002419705,0.07289135,0.2474328,0.00006803381],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4789491,0.008290653,0.005774557,0.2103596,0.004154013,0.00006193978,0.00006467067,0.00003176807,0.2923138],"genre_scores_gemma":[0.9840263,0.0008217139,0.0006410252,0.005640145,0.0001163536,0.00002192782,0.000009594081,0.00001901831,0.008703974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09966381,"threshold_uncertainty_score":0.1981674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299677186767564,"score_gpt":0.4508967296376626,"score_spread":0.3209290109609061,"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."}}