{"id":"W6982970796","doi":"","title":"La mise en récit des ethos écologiques sur Instagram :une cartographie entre la France et le Québec","year":2023,"lang":"fr","type":"other","venue":"Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Social justice; Intertextuality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001918459,0.0003318982,0.0003149168,0.004073609,0.009296498,0.006245241,0.0006989971,0.0009310933,0.01150296],"category_scores_gemma":[0.003497502,0.000229387,0.0002435292,0.006715031,0.007590574,0.002334069,0.001444923,0.001719537,0.0004672058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06125881,"about_ca_system_score_gemma":0.03080134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764745,"about_ca_topic_score_gemma":0.9809335,"domain_scores_codex":[0.9985991,0.0004809654,0.00003356627,0.0001768958,0.0003977728,0.0003117021],"domain_scores_gemma":[0.9952481,0.002050671,0.0004427188,0.0001764112,0.001710925,0.0003710553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001640066,0.00004496701,0.06793382,0.0006031442,0.00007080783,0.00143699,0.5698585,0.001236418,0.002620835,0.2141816,0.0358116,0.1060372],"study_design_scores_gemma":[0.000008923594,0.00002930139,0.1977621,0.0005690272,0.00003680103,0.0001917938,0.2087871,0.0006533007,0.0005283506,0.00298828,0.5883561,0.00008902916],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7235081,0.01120315,0.005411373,0.02537803,0.0001832404,0.00009001524,0.002473297,0.0001546839,0.231598],"genre_scores_gemma":[0.9526471,0.003354317,0.0009058595,0.0007509466,0.00003608165,0.0000569252,0.0003221309,0.00006438964,0.04186238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06125881,"threshold_uncertainty_score":0.4444658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008467070706341272,"score_gpt":0.2031979993155541,"score_spread":0.1947309286092128,"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."}}