{"id":"W4417346423","doi":"10.1080/17530350.2025.2558576","title":"Tending the infinite garden: organizational culture in the Ethereum ecosystem","year":2025,"lang":"en","type":"article","venue":"Journal of Cultural Economy","topic":"Environmental, Ecological, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ethereum Foundation","keywords":"Organizational culture; Ecosystem; Ecosystem approach; Corporate governance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01286636,0.0002664161,0.0002912406,0.001892253,0.007993463,0.008852078,0.001011213,0.001348879,0.001923832],"category_scores_gemma":[0.01385083,0.0003148807,0.000219963,0.001065034,0.0357242,0.01136027,0.009991651,0.00261681,0.0001523757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004018673,"about_ca_system_score_gemma":0.003562485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511389,"about_ca_topic_score_gemma":0.003872953,"domain_scores_codex":[0.9917257,0.006173905,0.0001756278,0.0005111205,0.0008197177,0.0005938471],"domain_scores_gemma":[0.9862487,0.01021304,0.001130732,0.001128976,0.0004708993,0.0008077117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006405166,0.00006522371,0.01248617,0.00008165469,0.00002142469,0.0008285799,0.5691769,0.0007957154,0.001848622,0.3843482,0.000931581,0.02935185],"study_design_scores_gemma":[0.00003650043,0.0001193021,0.008151176,0.000327353,0.00002194583,0.0008585253,0.6265746,0.003231668,0.002146122,0.2600874,0.09832771,0.0001176887],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233262,0.0005434941,0.02054063,0.005831216,0.00005334763,0.00003159823,0.0000164809,0.00003556841,0.04962138],"genre_scores_gemma":[0.9975727,0.00009086016,0.001279281,0.0001468637,0.000005176421,0.000009184387,0.000005241557,0.00001009258,0.0008805365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286636,"threshold_uncertainty_score":0.06804466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042901125248322,"score_gpt":0.2778264086141653,"score_spread":0.2573973973616821,"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."}}