{"id":"W7111618032","doi":"","title":"From green to speech: a discursive, terminological, and multimodal analysis of book ecology at Écosociété and in Francophone publishing","year":2025,"lang":"fr","type":"article","venue":"AMS Dottorato Institutional Doctoral Theses Repository (University of Bologna)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"French; Ethnography; Context (archaeology); Digital humanities","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001323199,0.0002512792,0.0007444693,0.0004791541,0.0003654265,0.000289405,0.0005331202,0.0003362855,0.00005972238],"category_scores_gemma":[0.0001471331,0.0002416286,0.0001813429,0.001396085,0.001666285,0.003826165,0.001299272,0.0002330547,0.000003815755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611604,"about_ca_system_score_gemma":0.0002530218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02751232,"about_ca_topic_score_gemma":0.008601425,"domain_scores_codex":[0.9982459,0.000183823,0.0003529632,0.0006471165,0.000251361,0.000318871],"domain_scores_gemma":[0.9985422,0.000355328,0.0002763898,0.0003148091,0.0002796831,0.0002315359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002511333,0.00237987,0.7271321,0.0004501957,0.005418689,0.004780628,0.02721869,0.005737812,0.04105267,0.1310786,0.01022532,0.04201404],"study_design_scores_gemma":[0.001168048,0.000325003,0.9693903,0.0003063087,0.0003845332,0.00005194381,0.001540122,0.005753413,0.001066231,0.002294878,0.01732595,0.0003932336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855259,0.004457143,0.0006237587,0.003937192,0.0009244011,0.0002442344,0.0002460948,0.00002446742,0.004016773],"genre_scores_gemma":[0.9919294,0.0001818261,0.002022018,0.0003497967,0.0000629749,8.332207e-7,0.0000301995,0.000003080473,0.00541993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2422582,"threshold_uncertainty_score":0.985333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07578365638815328,"score_gpt":0.2737466766523031,"score_spread":0.1979630202641498,"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."}}