{"id":"W2769671421","doi":"","title":"Les différences qui font une différence : vers une nouvelle approche pour la valorisation de la diversité dans les organisations","year":2017,"lang":"fr","type":"article","venue":"Commposite","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Context (archaeology); Diversity (politics); Humanities; Publics; Sociology; Geography; Politics; 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":[0.0007514284,0.0002541708,0.0002617149,0.00003423719,0.006113257,0.0006740915,0.001458295,0.0003513393,0.0004323474],"category_scores_gemma":[0.0006002009,0.0002570384,0.0001623089,0.0004527331,0.003369499,0.0006871833,0.0002973703,0.0003545092,0.00007959001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935804,"about_ca_system_score_gemma":0.0004963315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4909562,"about_ca_topic_score_gemma":0.1396678,"domain_scores_codex":[0.997584,0.0005619424,0.0002409142,0.0004355036,0.0006246851,0.000552881],"domain_scores_gemma":[0.9975439,0.001164285,0.0005160113,0.0004169846,0.0001189991,0.0002398543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002581588,0.0003960131,0.3233168,0.00004247623,0.00008817685,0.00002940755,0.4615714,0.0001335803,0.003263601,0.08944718,0.03355106,0.0881345],"study_design_scores_gemma":[0.0004783928,0.00006446196,0.6436495,0.0002097665,0.0001362481,0.000004296412,0.100958,0.0008272322,0.0002808384,0.005629659,0.2472983,0.0004632627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.710666,0.000821556,0.004907838,0.03576693,0.0009759882,0.0002529988,0.0002009748,0.00008742039,0.2463203],"genre_scores_gemma":[0.9743356,0.001003522,0.001199006,0.00008459426,0.0004555927,0.00001698154,0.00001196928,0.00001557747,0.02287718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3606134,"threshold_uncertainty_score":0.9999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983725753855693,"score_gpt":0.2990260398529418,"score_spread":0.2691887823143849,"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."}}