{"id":"W4415320840","doi":"10.17705/1cais.05719","title":"Taking Things Out of Context: A Configuration Analysis of the Persuasiveness of Digital Technologies for Sustainability Across Work-Home Boundaries","year":2025,"lang":"en","type":"article","venue":"Communications of the Association for Information Systems","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université Laval","funders":"Ministère de la Défense Nationale","keywords":"Sustainability; Work (physics); Context (archaeology); Microfoundations; Digital transformation; Emerging technologies; Digital society","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005121761,0.0001011435,0.0005170896,0.0005133069,0.000719,0.0003148216,0.00246996,0.0001585006,0.000001047091],"category_scores_gemma":[0.04367397,0.00006618776,0.0004522751,0.003712913,0.0005434976,0.001077743,0.0006469753,0.0001059054,3.622964e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793902,"about_ca_system_score_gemma":0.0003348077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005637241,"about_ca_topic_score_gemma":0.00004463806,"domain_scores_codex":[0.9966242,0.0001787717,0.00222941,0.0001035832,0.0007291609,0.0001348382],"domain_scores_gemma":[0.9768156,0.003595906,0.007406931,0.001926995,0.01024642,0.000008184024],"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":[0.0001169484,0.0001013577,0.2896572,0.0002949745,0.0006788353,7.892518e-10,0.02697031,0.003222373,0.0001893046,0.6581754,0.000576488,0.0200168],"study_design_scores_gemma":[0.003128782,0.0001138754,0.2466851,0.0007461158,0.0009643294,2.97621e-7,0.4973621,0.0942599,0.008413681,0.04461144,0.1032746,0.0004396868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325355,0.000854837,0.1894864,0.02815921,0.00398735,0.01264613,0.005994915,0.0002357726,0.02609989],"genre_scores_gemma":[0.9991018,0.000002587392,0.0001632194,0.00002688281,0.000002703452,0.0001254366,0.0000674834,0.00000307905,0.0005068039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.613564,"threshold_uncertainty_score":0.9643816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06405920520998121,"score_gpt":0.3766290460329428,"score_spread":0.3125698408229616,"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."}}