{"id":"W4402756049","doi":"","title":"Comprendre les pratiques en travail à distance à l’aide d’un bricolage méthodologique de suivi en ligne / hors ligne inspiré de l’ethnographie organisationnelle","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Bricolage; Ethnography; Crowd sourcing; Computer science; Online and offline; Sensemaking; Knowledge management; Human–computer interaction; Data science; Sociology; Visual arts; Art; Anthropology","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":[],"category_scores_codex":[0.01567758,0.0003555327,0.0004005901,0.0002621671,0.001404546,0.000615996,0.001110835,0.0005379076,0.0003855175],"category_scores_gemma":[0.002265474,0.0004255747,0.0002353001,0.002052625,0.0009800901,0.001137394,0.0001973588,0.0005512137,0.0001595344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588896,"about_ca_system_score_gemma":0.0006181397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003878218,"about_ca_topic_score_gemma":0.03412759,"domain_scores_codex":[0.984177,0.01321177,0.00072542,0.0005676305,0.0003834381,0.0009347631],"domain_scores_gemma":[0.9933587,0.00453525,0.000396048,0.0007037318,0.0006224734,0.0003838086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002178594,0.000631515,0.01822469,0.000184422,0.0001200232,0.00001431901,0.2781951,0.0001478288,0.001395583,0.4586949,0.002823888,0.2395459],"study_design_scores_gemma":[0.002658062,0.00002250919,0.1704085,0.003869938,0.0003246843,0.00005853578,0.08719752,0.02001335,0.1719603,0.08923981,0.4513181,0.002928679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6662721,0.00217579,0.194938,0.03967795,0.0002764066,0.0006654945,0.0001334592,0.0007214563,0.09513938],"genre_scores_gemma":[0.949442,0.009993254,0.01842689,0.0002852421,0.00008583559,0.00008856945,0.0002942545,0.00005230846,0.02133164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4484943,"threshold_uncertainty_score":0.9998955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880137519438432,"score_gpt":0.2432652543117548,"score_spread":0.2244638791173705,"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."}}