Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Barbara Mcgillivray"'
Autor:
Priya Silverstein, Colin Elman, Amanda Montoya, Barbara McGillivray, Charlotte R. Pennington, Chase H. Harrison, Crystal N. Steltenpohl, Jan Philipp Röer, Katherine S. Corker, Lisa M. Charron, Mahmoud Elsherif, Mario Malicki, Rachel Hayes-Harb, Sandra Grinschgl, Tess Neal, Thomas Rhys Evans, Veli-Matti Karhulahti, William L. D. Krenzer, Anabel Belaus, David Moreau, Debora I. Burin, Elizabeth Chin, Esther Plomp, Evan Mayo-Wilson, Jared Lyle, Jonathan M. Adler, Julia G. Bottesini, Katherine M. Lawson, Kathleen Schmidt, Kyrani Reneau, Lars Vilhuber, Ludo Waltman, Morton Ann Gernsbacher, Paul E. Plonski, Sakshi Ghai, Sean Grant, Thu-Mai Christian, William Ngiam, Moin Syed
Publikováno v:
Research Integrity and Peer Review, Vol 9, Iss 1, Pp 1-14 (2024)
Abstract Journal editors have a large amount of power to advance open science in their respective fields by incentivising and mandating open policies and practices at their journals. The Data PASS Journal Editors Discussion Interface (JEDI, an online
Externí odkaz:
https://doaj.org/article/030de849078a409fa345705b40f66493
Autor:
Mandy Wigdorowitz, Marton Ribary, Andrea Farina, Eleonora Lima, Daniele Borkowski, Paola Marongiu, Amanda H. Sorensen, Christelle Timis, Barbara McGillivray
Publikováno v:
Publications, Vol 12, Iss 3, p 24 (2024)
Partaking in the editorial process of an academic journal is both a challenging and rewarding experience. It takes a village of dedicated individuals with a vested interest in the dissemination and sharing of high-quality research outputs. As members
Externí odkaz:
https://doaj.org/article/1be7e7b16f5446589a1f5c15f8a0f4c1
Publikováno v:
Journal of Open Humanities Data, Vol 10, Pp 33-33 (2024)
We present the ‘Language of Mechanisation’ datasets with examples of re-use in visualisations and analysis. These reusable CSV files, published on the British Library’s Research Repository, contain automatically-transcribed text from 19th centu
Externí odkaz:
https://doaj.org/article/6b7e16c37f87475eb7a5f8cdfff5a537
Autor:
Barbara McGillivray, Gard B. Jenset
Publikováno v:
Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-6 (2023)
Historical linguistics is the study of language change and stability, of the history of individual languages, and of the relatedness between languages. In spite of numerous acknowledgements, the adoption of quantitative methods in historical linguist
Externí odkaz:
https://doaj.org/article/4aaad6a814f34e0eb1fb1f6562f56d93
Autor:
Laure Barbot, Maja Dolinar, Edward J. Gray, Cristina Grisot, Klaus Illmayer, Michael Kurzmeier, Barbara McGillivray
Publikováno v:
Journal of Open Humanities Data, Vol 10, Pp 22-22 (2024)
This paper provides an overview of workflows in the Social Sciences and Humanities Open Marketplace discovery portal. Workflows are defined as step-by-step research scenarios pointing to resources that can be used at each stage for someone to reprodu
Externí odkaz:
https://doaj.org/article/be7f476e7b1e476c9bfab8efad45ca1b
Publikováno v:
Journal of Open Humanities Data, Vol 10, Pp 15-15 (2024)
We present a series of workflows that aim to support research in lexical semantic change, i.e. the phenomenon by which words change their meaning over time. The workflows each consist of a series of steps required to detect words that have undergone
Externí odkaz:
https://doaj.org/article/7b4d184ee08941f5aaceb45b5f4344cc
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-15 (2022)
Abstract Multi-disciplinary and inter-disciplinary collaboration can be an appropriate response to tackling the increasingly complex problems faced by today’s society. Scientific disciplines are not rigidly defined entities and their profiles chang
Externí odkaz:
https://doaj.org/article/4e5cc37ab1f24b8f8d1e3261d865320d
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-12 (2021)
Measurement(s) Natural Language • lexical semantic change Technology Type(s) Programming Language • word embeddings • Cosine Distance Method Factor Type(s) time period Machine-accessible metadata file describing the reported data: https://doi.o
Externí odkaz:
https://doaj.org/article/aef5781c2e134598916e709cc378996e
Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences
Autor:
Barbara McGillivray, Paola Marongiu, Nilo Pedrazzini, Marton Ribary, Mandy Wigdorowitz, Eleonora Zordan
Publikováno v:
Publications, Vol 10, Iss 4, p 39 (2022)
The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem.
Externí odkaz:
https://doaj.org/article/2683f0b497754df79993fec177640a63
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol 2020, Iss Project (2020)
Open-ended survey data constitute an important basis in research as well as for making business decisions. Collecting and manually analysing free-text survey data is generally more costly than collecting and analysing survey data consisting of answer
Externí odkaz:
https://doaj.org/article/cac83b4be0ff46e689e40023ece36f77