{"id":"W4417172518","doi":"10.64628/aap.5mf6ddqge","title":"Sous pression : la charge émotionnelle méconnue des emplois administratifs","year":2025,"lang":"","type":"article","venue":"","topic":"Emotional Labor in Professions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Charge (physics); Object (grammar); Identification (biology); Deformation (meteorology); Context (archaeology)","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":[0.001094087,0.0002853342,0.0002442743,0.0003880441,0.00128108,0.003361765,0.000354372,0.001046964,0.01801181],"category_scores_gemma":[0.005843375,0.00009628752,0.0002645063,0.0003494433,0.001150233,0.001312614,0.000922577,0.001385331,0.00230814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129741,"about_ca_system_score_gemma":0.001606835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008538475,"about_ca_topic_score_gemma":0.00448174,"domain_scores_codex":[0.9991313,0.000371563,0.00003727915,0.00007299899,0.000231717,0.0001552186],"domain_scores_gemma":[0.9980653,0.0008260402,0.0002637364,0.00008917379,0.0004177524,0.0003379909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002537932,0.001238103,0.09676453,0.0009814457,0.0001963121,0.008985511,0.09681196,0.001400944,0.07607157,0.0694274,0.05709966,0.5884846],"study_design_scores_gemma":[0.0001744365,0.001288071,0.5802594,0.0004824552,0.0001228764,0.006022498,0.05491473,0.002245088,0.01538932,0.00927257,0.3297307,0.00009790863],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8618433,0.005880747,0.006334421,0.0169439,0.001513275,0.00005764072,0.0002603194,0.0001956594,0.1069707],"genre_scores_gemma":[0.9491871,0.001411843,0.0009761764,0.00100461,0.0007116988,0.0000372629,0.00008212021,0.00004164088,0.04654757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01801181,"threshold_uncertainty_score":0.06025553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644733732002306,"score_gpt":0.3636990502265701,"score_spread":0.337251712906547,"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."}}