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Vintage Legal Publication Ethics Policy

  1. Originality of Work: Submitted work must be original and should not be under review, published, or submitted for publication elsewhere. Duplicate submissions are strictly prohibited.

  2. Responsibility of Authors: Authors are responsible for giving proper credit to all original sources in the form of citations or references. All sources of data, ideas, and concepts must be clearly acknowledged.

  3. Copyright: Copyright of the published work remains with Vintage Legal. However, the work can be freely distributed, shared, and referred to by others, provided proper credit is given.

  4. Plagiarism and AI Content Detection: Vintage Legal uses Turnitin to detect plagiarism and AI-generated content. To ensure authenticity and originality, Vintage Legal allows up to 25% plagiarism. AI-generated content is not accepted. Submissions exceeding these limits will be rejected.

  5. Post-Publication Plagiarism: If plagiarism is detected after publication, the author will be contacted for clarification. If the issue is not resolved, the post will be taken down without refund or compensation.

  6. Publication Fee: A publication fee is required for covering website maintenance, post promotions, editorial processes, etc. This fee also acts as the author’s consent and agreement for their work to be published by Vintage Legal.

  7. Author Recognition: Vintage Legal provides full disclosure and proper credits to the authors for their contributions. LinkedIn mentions will also be made to help readers easily connect with the authors.

  8. Editorial Review: All submissions go through an editorial review process. Vintage Legal may reach out to the author for clarifications or corrections as necessary before final publication.

  9. Conflicts of Interest: Authors must disclose any potential conflicts of interest that may influence the interpretation of their work. Full transparency is expected to ensure the integrity of the publication process.

  10. Data Accuracy and Accountability: Authors are responsible for ensuring the accuracy of all data presented in their work. They must also be prepared to provide the raw data if requested by the editorial team for verification purposes.

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