Frequently Asked Questions

POLYMAS generally accepts manuscripts that have previously been posted on recognized preprint servers, provided that the manuscript has not been formally published in a peer-reviewed journal. Authors should disclose the preprint information, including its DOI or URL, during submission.

POLYMAS journals follow the Gold Open Access model. Published articles are freely and immediately available online, without subscription fees or an embargo period. Authors retain copyright. Unless otherwise stated, articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Please log in to the OS system and click Submit Now on the Overview page. Then, select the journal or Special Issue you wish to submit to and follow the submission instructions. Alternatively, you can go to the Writing page and directly upload your manuscript in Word or PDF format.

POLYMAS aims to integrate artificial intelligence (AI) into various stages of scholarly publishing, including initial manuscript screening, research content analysis, reviewer matching, editorial decision support, and scholarly knowledge organization. These applications are intended to improve publishing efficiency, transparency, and the discoverability of research outputs.

AI is intended to support editorial processes by analyzing manuscript content, identifying potential issues, and providing relevant information. Academic evaluation and final acceptance decisions remain the responsibility of qualified reviewers and academic editors. AI does not replace human academic judgment.

POLYMAS emphasizes transparency, accuracy, and accountability in the use of AI tools. AI-generated analyses and recommendations should undergo appropriate human verification, with responsible academic editors retaining accountability for final decisions.

The PCM (Position–Claim–Method) framework is an approach to organizing and analyzing scholarly knowledge based on research positions, core claims, and methodologies. It aims to identify connections among different studies, improve the structured representation of academic content, and facilitate more effective knowledge discovery.

AI may assist with certain technical and analytical tasks, such as manuscript content analysis, potential reviewer matching, and the organization of relevant research information. However, AI-assisted tools do not replace independent expert peer review. The academic quality of manuscripts continues to be evaluated by qualified experts in the relevant fields.

POLYMAS places importance on protecting the confidentiality of unpublished manuscripts and related research information. The use of AI tools should comply with applicable data protection, information security, and publication ethics requirements to prevent unauthorized disclosure of manuscript content and ensure appropriate protection of sensitive information.