{"id":"W4391157879","doi":"10.7202/1108607ar","title":"La rigueur en recherche-développement : risques et tensions dans l’opérationnalisation de la démarche","year":2023,"lang":"fr","type":"article","venue":"Recherches qualitatives","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"","keywords":"Operationalization; Rigour; Process (computing); Process management; Engineering ethics; Epistemology; Management science; Political science; Psychology; Risk analysis (engineering); Computer science; Engineering; Business; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2266176,0.0004321228,0.0005548845,0.0007034531,0.0003091049,0.0006442216,0.0007819979,0.001038973,0.0008908827],"category_scores_gemma":[0.08419998,0.0003736939,0.0003010999,0.003138186,0.00070862,0.001349295,0.0003240818,0.00170363,0.001951473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426098,"about_ca_system_score_gemma":0.004317685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000421331,"about_ca_topic_score_gemma":0.0003553923,"domain_scores_codex":[0.8314766,0.162638,0.001806409,0.0009283082,0.002350515,0.0008001727],"domain_scores_gemma":[0.8623628,0.1352845,0.0005494484,0.0005999731,0.0009021777,0.0003011581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009223112,0.0003775954,0.00278517,0.0001109318,0.0001902063,0.00002989457,0.5932891,0.001935974,0.005326995,0.1081411,0.02791665,0.2598041],"study_design_scores_gemma":[0.001015945,0.0003299378,0.09170947,0.0004748449,0.0001109827,0.00002537354,0.1691217,0.02195467,0.002284441,0.460276,0.2520851,0.0006115177],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2744713,0.002864222,0.1986192,0.365769,0.001539947,0.001194385,0.0001780841,0.0005612914,0.1548025],"genre_scores_gemma":[0.4398977,0.02080849,0.3571363,0.004070402,0.0007104682,0.0004534976,0.0002763105,0.0001634237,0.1764833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4241675,"threshold_uncertainty_score":0.9998715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8037453369100962,"score_gpt":0.6763974219061654,"score_spread":0.1273479150039308,"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."}}