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| Plagiat przez parafrazę× | Podobieństwo a plagiat: Zrozumienie rozróżnienia× | |
|---|---|---|
| Dziedzina | Etyka badań naukowych | Etyka badań naukowych |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1980s | 2000s |
| Twórca≠ | Academic integrity framework (modern definition) | Academic integrity frameworks and plagiarism detection software companies |
| Typ | Concept | Concept |
| Źródło pierwotne≠ | Roig, M. (2015). Avoiding plagiarism, self-plagiarism, and other questionable writing practices: A guide to ethical writing. U.S. Department of Health and Human Services Office of Research Integrity. link ↗ | Hirsch, L. R. (2013). Recognizing plagiarism: A guide for academic professionals. Teaching Professor Blog. link ↗ |
| Inne nazwy | insufficient paraphrase, close paraphrase, lazy paraphrasing | similarity index, turnitin score, similarity percentage |
| Pokrewne | 4 | 4 |
| Podsumowanie≠ | Paraphrasing plagiarism occurs when an author rewrites another's ideas in different words but does not cite the source. Unlike verbatim plagiarism (copying word-for-word), paraphrasing plagiarism involves changing vocabulary and sentence structure while retaining the original argument, logic, or conceptual content without attribution. It is harder to detect than direct copying but is still a clear violation of academic integrity. | A critical distinction exists between similarity percentages generated by plagiarism detection software (Turnitin, iThenticate) and an actual plagiarism verdict. A similarity index is a red flag requiring review; it is not a plagiarism determination. High similarity can result from legitimate quotations, references, shared technical language, or common knowledge. Conversely, low similarity does not guarantee absence of plagiarism. Human expert judgment is essential—similarity detection software provides data, not judgment. |
| ScholarGateZbiór danych ↗ |
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