{"id":"W2973655704","doi":"10.3917/anso.192.0511","title":"Entre ordonnancement hiérarchisé des professions et regroupement des métiers par domaine d’activité. La double asymétrie des représentations ordinaires","year":2019,"lang":"fr","type":"article","venue":"L Année sociologique","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Sociology; Philosophy","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":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005369705,0.0004223106,0.0004910703,0.0001249205,0.002911731,0.0001046612,0.0004672506,0.0007180237,0.0007223061],"category_scores_gemma":[0.001146623,0.0003972809,0.0002899804,0.0006374919,0.01041447,0.0008023558,0.0001399432,0.0009144356,0.0001602172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008238842,"about_ca_system_score_gemma":0.001628812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766101,"about_ca_topic_score_gemma":0.001069451,"domain_scores_codex":[0.9920886,0.005095256,0.0006214341,0.0007703479,0.000365328,0.001059094],"domain_scores_gemma":[0.9946959,0.003796047,0.0004247206,0.0003931657,0.0004086313,0.0002815468],"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":[0.00004200579,0.0006354117,0.3304237,0.0001894134,0.0002148406,0.000003912392,0.2233513,0.000172078,0.0002849939,0.4372954,0.002037429,0.005349464],"study_design_scores_gemma":[0.001226746,0.0003967494,0.2273162,0.0005753476,0.0001099045,0.000007319836,0.5013877,0.00002030299,0.0002031546,0.2394219,0.02874792,0.000586784],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228362,0.003279502,0.002550068,0.02478231,0.002710089,0.001134361,0.00005421647,0.0001722327,0.04248103],"genre_scores_gemma":[0.9466609,0.01522112,0.018368,0.0007378347,0.001031488,0.0005071014,0.0001720687,0.00004374934,0.01725774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2780364,"threshold_uncertainty_score":0.9998479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1669266443174453,"score_gpt":0.4618365781359256,"score_spread":0.2949099338184803,"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."}}