{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T02:54:13Z","timestamp":1790391253508,"version":"4.1.0"},"reference-count":46,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nursing Inquiry"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>The NLN\/Jeffries Simulation Theory (JST) occupies an important and debated position in nursing education. It is widely used for its practical value but often criticized for lacking theoretical clarity. Traditional evaluation methods rely on single theoretical perspectives and have not resolved this contradiction, leading to fragmented and incomplete assessments. This study presents a Human\u2013AI collaborative framework for comprehensive meta\u2010theoretical analysis and uses JST as a demonstration case. The framework is based on the concept of crystallization and combines evaluation criteria from Fawcett, Meleis, and Walker and Avant. Artificial intelligence is used to organize and systematically analyze complex and multidimensional theoretical evidence, while the human researcher performs interpretation and synthesis. The findings show that JST's lack of precision is not a weakness but a strength that allows it to function as a boundary object. It serves as a flexible structure that supports collaboration across nursing education, research, and practice. This study provides a practical and transparent model for using Human\u2010Centered Artificial Intelligence in academic research. It shows how technological tools can augment rather than displace the critical, interpretive judgment of nursing scholars.<\/jats:p>","DOI":"10.1111\/nin.70078","type":"journal-article","created":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T07:22:11Z","timestamp":1768029731000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Crystallizing Theory Evaluation: A Human\u2013AI Collaborative Framework for Multi\u2010Perspective Nursing Theory Analysis"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0440-1237","authenticated-orcid":false,"given":"Damla","family":"Er","sequence":"first","affiliation":[{"name":"Department of Public Health Nursing, Faculty of Health Sciences \u0130zmir Katip \u00c7elebi University \u0130zmir T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9064-611X","authenticated-orcid":false,"given":"Kemal","family":"Yayla","sequence":"additional","affiliation":[{"name":"Department of Data Science and Analytics, Faculty of Business Administration and Management \u0130zmir Katip \u00c7elebi University \u0130zmir T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5007-8186","authenticated-orcid":false,"given":"Bet\u00fcl","family":"Akta\u015f","sequence":"additional","affiliation":[{"name":"Department of Public Health Nursing, Faculty of Health Sciences \u0130zmir Katip \u00c7elebi University \u0130zmir T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,9]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/nin.12556"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.5480\/15-1655"},{"key":"e_1_2_11_4_1","doi-asserted-by":"crossref","unstructured":"Alizadeh M. M.Kubli Z.Samei et al.2023. \u201cOpen\u2010Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine\u2010Tuning (Version 2).\u201d arXiv.https:\/\/doi.org\/10.48550\/ARXIV.2307.02179.","DOI":"10.1007\/s42001-024-00345-9"},{"key":"e_1_2_11_5_1","first-page":"3","volume-title":"Nursing Theorist and Their Work","author":"Alligood M. R.","year":"2013"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/nin.12592"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/nin.12243"},{"key":"e_1_2_11_8_1","unstructured":"Chew R. J.Bollenbacher M.Wenger J.Speer andA.Kim.2023. \u201cLLM\u2010Assisted Content Analysis: Using Large Language Models to Support Deductive Coding (Version 1).\u201d arXiv.https:\/\/doi.org\/10.48550\/ARXIV.2306.14924."},{"key":"e_1_2_11_9_1","volume-title":"Knowledge Development in Nursing: Theory and Process","author":"Chinn P. 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