Étiquette : social sciences

Catégories
EN

What Does Openness Mean for the Humanities? Redefining Ethical and Reflexive Practices in Open Research

Author : Adeola Eze

Notions of openness in research have largely been shaped by scientific principles of transparency, efficiency, and replicability, operationalized through standardized workflows, interoperable infrastructures, and measurable impact. Endorsed by funders and policy frameworks, this model often misfits humanities and social science epistemologies in which knowledge is interpretive, historically situated, and ethically entangled with context.

This article critiques policy-led definitions of openness by tracing how open access and open science have been implemented through compliance regimes, metrics, and author-facing payment models, with uneven consequences across regions, languages, and institutions. Rather than rejecting open research, the article reinterprets it through a humanities lens.

It develops a theory of interpretive openness through Umberto Eco’s concept of the open work and extends it through three historical case studies—the cento, scholastic glossing, and Derrida’s margins—which show how form-bound reuse, annotation, and participatory reading have long operated as infrastructures of public meaning-making.

The article then connects these genealogies to contemporary digital publishing and editorial infrastructures, including preprints, open peer review, and web annotation, and argues for open research designs that value interpretive labor, visible process, and community accountable infrastructures.

URL : What Does Openness Mean for the Humanities? Redefining Ethical and Reflexive Practices in Open Research

DOI : https://doi.org/10.3998/jep.7873

Catégories
EN

And Plato met ChatGPT: an ethical reflection on the use of chatbots in scientific research writing, with a particular focus on the social sciences

Authors : Reyes Calderon, Francisco Herrera

This interdisciplinary paper analyzes the use of Large Language Models based chatbots (LLM-chatbots), with ChatGPT the most known exponent, in scientific research writing. By interacting with LLM-chatbots, researchers could reduce efforts and costs as well as improve efficiency, but taking important risks, limitations, and weaknesses, which could highly-order erosion scientific thought.

While many scientific journals, as well as major publishers such as Springer-Nature or Taylor & Francis, are restricting its use, others advocate for its normalization. Debate focuses on two main questions: the possible authorship of LLM-chatbots, which is majority denied because their inability to meet the required standards; and the acceptance of hybrid articles (using LLM-chatbots).

Very recently, focusing on the education area, literature has found analogical similarities between some issues involved in Chatbots and that of Plato criticisms of writing, contained in the Phaedrus. However, the research area has been neglected. Combining philosophical and technological analysis, we explore Plato’s myth of Theuth and Thamus, questioning if chatbots can improve science. From an interdisciplinary perspective, and according with Plato, we conclude LLM-chatbots cannot be considered as authors in a scientific context.

Moreover, we offer some arguments and requirements to accept hybrid articles. We draw attention to the need for social science publishers, an area where conceptual hypotheses can take a long time to confirm, rather than solely on experimental observations. Finally, we advocate that publishers, communities, technical experts, and regulatory authorities collaborate to establish recommendations and best practices for chatbot use.

URL : And Plato met ChatGPT: an ethical reflection on the use of chatbots in scientific research writing, with a particular focus on the social sciences

DOI : https://doi.org/10.1057/s41599-025-04650-0

Catégories
Non classé

Re-use of research data in the social sciences. Use and users of digital data archive

Authors : Elina LateI, Michael Ochsner

The aim of this paper is to investigate the re-use of research data deposited in digital data archive in the social sciences. The study examines the quantity, type, and purpose of data downloads by analyzing enriched user log data collected from Swiss data archive. The findings show that quantitative datasets are downloaded increasingly from the digital archive and that downloads focus heavily on a small share of the datasets.

The most frequently downloaded datasets are survey datasets collected by research organizations offering possibilities for longitudinal studies. Users typically download only one dataset, but a group of heavy downloaders form a remarkable share of all downloads. The main user group downloading data from the archive are students who use the data in their studies. Furthermore, datasets downloaded for research purposes often, but not always, serve to be used in scholarly publications.

Enriched log data from data archives offer an interesting macro level perspective on the use and users of the services and help understanding the increasing role of repositories in the social sciences. The study provides insights into the potential of collecting and using log data for studying and evaluating data archive use.

URL : Re-use of research data in the social sciences. Use and users of digital data archive

DOI : https://doi.org/10.1371/journal.pone.0303190

Catégories
EN

The financial maintenance of social science data archives: Four case studies of long-term infrastructure work

Authors : Kristin R. Eschenfelder, Kalpana Shankar, Greg Downey

Contributing to the literature on knowledge infrastructure maintenance, this article describes a historical longitudinal analysis of revenue streams employed by four social science data organizations: the Roper Center for Public Opinion, the Inter-university Consortium for Political and Social Research (ICPSR), the UK Data Archive (UKDA), and the LIS Cross-National Data Center in Luxembourg (LIS).

Drawing on archival documentation and interviews, we describe founders’ assumptions about revenue, changes to revenue streams over the long term, practices for developing and maintaining revenue streams, the importance of financial support from host organizations, and how the context of each data organization shaped revenue possibilities.

We extend conversations about knowledge infrastructure revenue streams by showing the types of change that have occurred over time and how it occurs. We provide examples of the types of flexibility needed for data organizations to remain sustainable over 40–60 years of revenue changes.

We distinguish between Type A flexibilities, or development of new products and services, and Type B flexibilities, or continuous smaller adjustments to existing revenue streams. We argue that Type B flexibilities are as important as Type A, although they are easily overlooked. Our results are relevant to knowledge infrastructure managers and stakeholders facing similar revenue challenges.

URL : The financial maintenance of social science data archives: Four case studies of long-term infrastructure work

DOI : https://doi.org/10.1002/asi.24691

Catégories
EN

More journal articles and fewer books: Publication practices in the social sciences in the 2010’s

Authors : William E. Savage, Anthony J. Olejniczak

The number of scholarly journal articles published each year is growing, but little is known about the relationship between journal article growth and other forms of scholarly dissemination (e.g., books and monographs).

Journal articles are the de facto currency of evaluation and prestige in STEM fields, but social scientists routinely publish books as well as articles, representing a unique opportunity to study increased article publications in disciplines with other dissemination options.

We studied the publishing activity of social science faculty members in 12 disciplines at 290 Ph.D. granting institutions in the United States between 2011 and 2019, asking: 1) have publication practices changed such that more or fewer books and articles are written now than in the recent past?; 2) has the percentage of scholars actively participating in a particular publishing type changed over time?; and 3) do different age cohorts evince different publication strategies?

In all disciplines, journal articles per person increased between 3% and 64% between 2011 and 2019, while books per person decreased by at least 31% and as much as 54%. All age cohorts show increased article authorship over the study period, and early career scholars author more articles per person than the other cohorts in eight disciplines.

The article-dominated literatures of the social sciences are becoming increasingly similar to those of STEM disciplines.

URL : More journal articles and fewer books: Publication practices in the social sciences in the 2010’s

DOI : https://doi.org/10.1371/journal.pone.0263410

Catégories
EN

The state of social science research on COVID-19

Authors : Yan-Li Liu, Wen-Juan Yuan, Shao-Hong Zhu

Research on COVID-19 has proliferated rapidly since the outbreak of the pandemic at the end of 2019. Many articles have aimed to provide insight into this fast-growing theme. The social sciences have also put effort into research on problems related to COVID-19, with numerous documents having been published.

Some studies have evaluated the growth of scientific literature on COVID-19 based on scientometric analysis, but most of these analyses focused on medical research while ignoring social science research on COVID-19.

This is the first scientometric study of the performance of social science research on COVID-19. It provides insight into the landscape, the research fields, and international collaboration in this domain. Data obtained from SSCI on the Web of Science platform was analyzed using VOSviewer.

The overall performance of the documents was described, and then keyword co-occurrence and co-authorship networks were visualized. The six main research fields with highly active topics were confirmed by analysis and visualization. Mental health and psychology were clearly shown to be the focus of most social science research related to COVID-19.

The USA made the most contributions, with the most extensive collaborations globally, with Harvard University as the leading institution. Collaborations throughout the world were strongly related to geographical location.

Considering the social impact of the COVID-19 pandemic, this scientometric study is significant for identifying the growth of literature in the social sciences and can help researchers within this field gain quantitative insights into the development of research on COVID-19.

The results are useful for finding potential collaborators and for identifying the frontier and gaps in social science research on COVID-19 to shape future studies.

DOI : https://doi.org/10.1007/s11192-021-04206-4

Catégories
EN

Systematizing Confidence in Open Research and Evidence (SCORE)

Authors : Nazanin Alipourfard, Beatrix Arendt, Daniel M. Benjamin, Noam Benkler, Michael Bishop, Mark Burstein, Martin Bush, James Caverlee, Yiling Chen, Chae Clark, Anna Dreber Almenberg, Tim Errington, Fiona Fidler, Nicholas Fox, Aaron Frank, Hannah Fraser, Scott Friedman, Ben Gelman, James Gentile, C Lee Giles, Michael B Gordon, Reed Gordon-Sarney, Christopher Griffin, Timothy Gulden et al.,

Assessing the credibility of research claims is a central, continuous, and laborious part of the scientific process. Credibility assessment strategies range from expert judgment to aggregating existing evidence to systematic replication efforts.

Such assessments can require substantial time and effort. Research progress could be accelerated if there were rapid, scalable, accurate credibility indicators to guide attention and resource allocation for further assessment.

The SCORE program is creating and validating algorithms to provide confidence scores for research claims at scale. To investigate the viability of scalable tools, teams are creating: a database of claims from papers in the social and behavioral sciences; expert and machine generated estimates of credibility; and, evidence of reproducibility, robustness, and replicability to validate the estimates.

Beyond the primary research objective, the data and artifacts generated from this program will be openly shared and provide an unprecedented opportunity to examine research credibility and evidence.

URL : Systematizing Confidence in Open Research and Evidence (SCORE)

DOI : https://doi.org/10.31235/osf.io/46mnb