03333nam 2200409 450 991047695220332120230516122843.0(CKB)5470000000566777(NjHacI)995470000000566777(EXLCZ)99547000000056677720230516d2020 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierThe influence of labour legislation on job creation and job sustainability in South Africa /Catharina A.J. WomackCape Town, South Africa :AOSIS,2020.1 online resource (xxvii, 415 pages)1-928523-53-6 Includes bibliographical references and index.Chapter 1 Overview and background to the study / Catharina A.J. Womack -- Chapter 2 An integrated theory and series of propositions relating to the general factors influencing job creation and job sustainability in South Africa / Catharina A.J. Womack -- Chapter 3 An exploration of the extent to which labour legislation, in meeting the normative requirements and ethical requirements of social justice, influence job creation and job sustainability in South Africa / Catharina A.J. Womack -- Chapter 4 Research methodology and design / Catharina A.J. Womack -- Chapter 5 Presentation, interpretation, analysis of quantitative data from business and trade union online surveys relating to factors influencing job creation and job sustainability in South Africa / Catharina A.J. Womack -- Chapter 6 Presentation, interpretation, analysis of qualitative data from business and trade union interviews relating to factors influencing job creation and job sustainability in South Africa / Catharina A.J. Womack -- Chapter 7 Discussion of results and findings and implications for practice / Catharina A.J. Womack -- Chapter 8 Conclusions and Recommendations / Catharina A.J. Womack.This scholarly book focuses on the issue of high unemployment and the challenges related thereto in South Africa. It demonstrates the urgent need for research into the contribution of job creation to poverty alleviation and economic growth. This research is relevant from a legal, economic and social sciences point of view. The main thesis of the book is to explore the influence of labour legislation on job creation. It investigates sustainability regarding employment relationships through the lens of the two primary participants: business and organised labour. This book adds value to the social justice context from both a societal and business point of view. It provides business and unionised labour a voice from which the influence of labour legislation on job creation and job sustainability can be addressed.Job creationSouth AfricaLabor laws and legislationSouth AfricaLabor marketSouth AfricaJob creationLabor laws and legislationLabor market331.10968Womack Anna Johanna Catharina1357740NjHacINjHaclBOOK9910476952203321The influence of labour legislation on job creation and job sustainability in South Africa3364380UNINA01150nam0 22002771i 450 UON0042008520231205104818.28020130308d1972 |0itac50 baengGB|||| 1||||Imagination indulgedthe irrational in the nineteenth century novelElliott B. GoseMontrealLondonMcGill queen's university1972xii, 182 p.24 cm.NARRATIVA INGLESESec. 18.-19.StudiUONC078542FICAMontréalUONL000242GBLondonUONL003044823.91409Narrativa inglese, 1945-1999. Storia, descrizione, studi critici21GOSEElliott B.UONV214281710263McGill Queen's University PressUONV265768650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00420085SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI Angl V C 416 SI SI 6369 5 416 BuonoImagination indulged1339559UNIOR03887nam 22006015 450 991073603170332120230731224336.09783658420628365842062610.1007/978-3-658-42062-8(MiAaPQ)EBC30670635(Au-PeEL)EBL30670635(DE-He213)978-3-658-42062-8(PPN)272257583(CKB)27899960300041(OCoLC)1392344535(EXLCZ)992789996030004120230731d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAnalyzing Non-Textual Content Elements to Detect Academic Plagiarism /by Norman Meuschke1st ed. 2023.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Vieweg,2023.1 online resource (290 pages)Print version: Meuschke, Norman Analyzing Non-Textual Content Elements to Detect Academic Plagiarism Wiesbaden : Springer Fachmedien Wiesbaden GmbH,c2023 9783658420611 Introduction -- Academic Plagiarism Detection -- Citation-based Plagiarism Detection -- Image-based Plagiarism Detection -- Math-based Plagiarism Detection -- Hybrid Plagiarism Detection System -- Conclusion and Future Work -- References.Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Current detection methods focus on textual analysis and find copied, moderately reworded, or translated content. However, detecting more subtle forms of plagiarism, including strong paraphrasing, sense-for-sense translations, or the reuse of non-textual content and ideas, remains a challenge. This book presents a novel approach to address this problem—analyzing non-textual elements in academic documents, such as citations, images, and mathematical content. The proposed detection techniques are validated in five evaluations using confirmed plagiarism cases and exploratory searches for new instances. The results show that non-textual elements contain much semantic information, are language-independent, and resilient to typical tactics for concealing plagiarism. Incorporating non-textual content analysis complements text-based detection approaches and increases the detection effectiveness, particularly for disguised forms of plagiarism. The book introduces the first integrated plagiarism detection system that combines citation, image, math, and text similarity analysis. Its user interface features visual aids that significantly reduce the time and effort users must invest in examining content similarity. About the author Norman Meuschke is a Senior Researcher for Information Retrieval and Natural Language Processing at the University of Göttingen, Germany.Natural language processing (Computer science)Image processing—Digital techniquesComputer visionPattern recognition systemsNatural Language Processing (NLP)Computer Imaging, Vision, Pattern Recognition and GraphicsAutomated Pattern RecognitionNatural language processing (Computer science)Image processing—Digital techniques.Computer vision.Pattern recognition systems.Natural Language Processing (NLP).Computer Imaging, Vision, Pattern Recognition and Graphics.Automated Pattern Recognition.808.025Meuschke Norman1380401MiAaPQMiAaPQMiAaPQBOOK9910736031703321Analyzing Non-Textual Content Elements to Detect Academic Plagiarism3421662UNINA