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| Plagiat mozaikowy× | Podobieństwo a plagiat: Zrozumienie rozróżnienia× | |
|---|---|---|
| Dziedzina | Etyka badań naukowych | Etyka badań naukowych |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1990s | 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 | patch-writing, patchwork plagiarism, incremental plagiarism | similarity index, turnitin score, similarity percentage |
| Pokrewne | 4 | 4 |
| Podsumowanie≠ | Mosaic plagiarism, also called patch-writing, occurs when an author mixes copied phrases and sentences from a source with original text, rearranges material from multiple sources, or interweaves paraphrased and verbatim passages without proper citation or quotation marks. It is difficult to detect because the copied portions are interspersed with original writing, creating a surface appearance of original work. | 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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