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Posts by SocArXiv

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Asset specificity in climate politics: How polluting firms become climate policy supporters
doi.org/10.31219/osf...
@socarxiv.bsky.social preprint by @nuffieldcollege.bsky.social student @jonasfischer.bsky.social

4 days ago 3 2 0 0

AI has increased submissions, but reject lots of AI slop. I don't have an acceptance rate because of how versions are counted, but a majority of moderator decisions are rejections. I hope there is an increase in real human papers being shared, but determining that will require more analysis.

5 days ago 2 0 0 0
	New papers
2016	609
2017	1162
2018	1261
2019	1583
2020	2230
2021	2629
2022	2207
2023	2230
2024	1940
2025	3132
2026 linear projection	4699

New papers 2016 609 2017 1162 2018 1261 2019 1583 2020 2230 2021 2629 2022 2207 2023 2230 2024 1940 2025 3132 2026 linear projection 4699

SocArXiv is accepting about 12.9 new papers per day for the last three months (not counting revisions). That's a pace of almost 5000 per year.

5 days ago 7 2 1 0

IMO an important academic value is that your personal identity is accountable for what you put into the public space. Thus pseudonyms inappropriate for academic work & your ORCiD should have enough public info to "out" you to others. (Posting my view in a discussion among preprint moderators.)

2 weeks ago 4 1 2 0
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2 weeks ago 0 0 0 0

📝 Finished a nice little study together with @raabm.bsky.social: "Time spent alone or together, household type, and loneliness: Descriptive evidence from Germany". The preprint is now available, of course on @socarxiv.bsky.social ➡️ doi.org/10.31235/osf....

2 weeks ago 7 2 1 0
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Trends in youth civic engagement before, during, and after the COVID-19 pandemic We examined how youth civic engagement changed across the pre-, during-, and post-COVID-19 pandemic periods in dimensions of civic intent, political participation, community service participation, ...

New paper published in the Journal of Moral Education bit.ly/4sRDyKH (@socarxiv.bsky.social preprint bit.ly/4a2bUnk) Youth civic engagement declined across domains over the COVID-19 pandemic period in general but there are some additional points to note. See comments for details. (1/4)

3 weeks ago 1 1 1 0
OSF

Article is open access at @europeansocreview.bsky.social and also available on @socarxiv.bsky.social , where versions have apparently been downloaded >700 times (❣️) since December 2024

3 weeks ago 1 2 0 0
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The Center for Open Science Welcomes Chris Bourg and Marcus Munafò to its Board of Directors The Center for Open Science is pleased to welcome Chris Bourg (Massachusetts Institute of Technology) and Marcus Munafò (University of Bath) to the COS Board of Directors in 2026.

COS is pleased to welcome Chris Bourg (MIT) and Marcus Munafò (University of Bath) to our Board of Directors. Their leadership in equitable open scholarship, research culture reform, and metascience will help shape how the next phase of our work unfolds.

🎉

3 weeks ago 17 6 0 0
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My first thought was “why create fake authors if you wouldn’t get the credit?”. But then it clicked—this is probably a citation boosting play

4 weeks ago 16 1 0 0
Daniel Shilansky
Editor at Heritage Canon
Heritage Canon • Tel Aviv University
Berlin, Berlin, Germany
169 connections
1 Message
+ Follow
He/Him • 3rd
About
Digital marketing professional with robust problem-solving skills and proven experience in building eCommerce environments and marketing strategies for growing businesses.

Daniel Shilansky Editor at Heritage Canon Heritage Canon • Tel Aviv University Berlin, Berlin, Germany 169 connections 1 Message + Follow He/Him • 3rd About Digital marketing professional with robust problem-solving skills and proven experience in building eCommerce environments and marketing strategies for growing businesses.

HERITAGE CANON
CATALOG
EDITOR
ABOUT
EDITOR
Daniel Shilansky
EDITOR, HERITAGE CANON
Daniel Shilansky is the editor of Heritage Canon, an independent press. The books currently featured on this site belong to the Philosophical Editions series, which pairs classic works with new introductions that reconstruct the intellectual world in which they first appeared.

HERITAGE CANON CATALOG EDITOR ABOUT EDITOR Daniel Shilansky EDITOR, HERITAGE CANON Daniel Shilansky is the editor of Heritage Canon, an independent press. The books currently featured on this site belong to the Philosophical Editions series, which pairs classic works with new introductions that reconstruct the intellectual world in which they first appeared.

This guy describes himself as "digital marketing professional" on LinkedIn, but the spam company he created (Heritage Cannon) says, "His research focuses on the relationship between narrative art and the Western philosophical tradition."
/1

4 weeks ago 9 1 4 0

There is aixiv...

4 weeks ago 0 0 0 0
Social science by humans for humans*

*and other living things

SOCARXIV

Social science by humans for humans* *and other living things SOCARXIV

1 month ago 22 4 0 2
Uses and Misuses of Large Language Models in Qualitative Research

Jonathan Ben-Menachem
Abstract: Researchers are now considering how to incorporate large language models (LLMs) into qualitative data collection and analysis—domains where the researcher's evolving interpretive judgment cannot be separated from the method. This article considers various, increasingly ambitious applications of LLMs, distinguishing amplification of human analytical capacity from substitution. For analysis of human-collected data, I argue that the discipline lacks epistemic frameworks to evaluate what LLM-assisted coding means—whether it constitutes an informal thinking tool, a robustness check, or a source of confirmation bias. Turning to data collection, I suggest that LLM-administered “interviewing” sacrifices the iterative linkage between data collection and theory development that gives qualitative methods their distinctive inferential leverage, producing output closer to adaptive surveying than to fieldwork. I conclude by addressing institutional incentives that make these tools structurally tempting and arguing that professional evaluation standards should account for the epistemic costs of LLM-accelerated productivity norms on fieldwork-intensive research.

Uses and Misuses of Large Language Models in Qualitative Research Jonathan Ben-Menachem Abstract: Researchers are now considering how to incorporate large language models (LLMs) into qualitative data collection and analysis—domains where the researcher's evolving interpretive judgment cannot be separated from the method. This article considers various, increasingly ambitious applications of LLMs, distinguishing amplification of human analytical capacity from substitution. For analysis of human-collected data, I argue that the discipline lacks epistemic frameworks to evaluate what LLM-assisted coding means—whether it constitutes an informal thinking tool, a robustness check, or a source of confirmation bias. Turning to data collection, I suggest that LLM-administered “interviewing” sacrifices the iterative linkage between data collection and theory development that gives qualitative methods their distinctive inferential leverage, producing output closer to adaptive surveying than to fieldwork. I conclude by addressing institutional incentives that make these tools structurally tempting and arguing that professional evaluation standards should account for the epistemic costs of LLM-accelerated productivity norms on fieldwork-intensive research.

By popular demand, I'm sharing my preprint discussing the implications of large language models for qualitative sociology research. Advocates emphasize the efficiency gains of LLMs: "interviews in minutes for pennies". This paper asks: But at what (epistemic) cost? doi.org/10.31235/osf... 🧪

1 month ago 67 29 0 7

Further details on arXiv going independent: like us the aim is improved sustainability, tech, governance, and global engagement tech.cornell.edu/arxiv/

1 month ago 11 9 1 0

Every little bit helps!

1 month ago 1 0 0 0

Folks, this is why your friendly neighbourhood @socarxiv.bsky.social moderators insist you link your OSF and ORCID accounts

If you have one then please also verify your institutional email address on your @orcid.org account, as this saves us time

1 month ago 2 1 1 0
1 month ago 3 0 1 0
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paper title: LLM-Assisted Replication as Scientific Infrastructure. paper authors:  So Kubota, Hiromu Yakura, Sho Yamada, Yuki Nakamura, Tobias Werner, Samuel Coavoux

paper title: LLM-Assisted Replication as Scientific Infrastructure. paper authors: So Kubota, Hiromu Yakura, Sho Yamada, Yuki Nakamura, Tobias Werner, Samuel Coavoux

Abstract: Large language models (LLMs) are rapidly accelerating scientific production, from literature synthesis to automated analysis. Yet this expansion risks creating a verification gap, in which the volume of scientific claims outpaces the community’s capacity to check their reproducibility. We argue that the same LLM capabilities driving scientific output can be redirected toward scalable verification. As a demonstration, we share insights and lessons from our attempt to reproduce the core results of popular classical papers across disciplines, which yielded not only successful cases but also failures due to underspecified methodological details. This means that automated replication does not adjudicate scientific truth, but it localizes discrepancies and documentation gaps, lowering the cost of computational reproducibility checks. We thereby propose embedding LLM-assisted replication across the research lifecycle, from pre-submission quality check, journal-integrated verification, post-publication audits, to forensic reconstruction of legacy studies. To prevent misuse and preserve trust, we call for transparent standards and community governance. If institutionalized responsibly, AI can serve not only to generate science, but to scale its self-correction.

Abstract: Large language models (LLMs) are rapidly accelerating scientific production, from literature synthesis to automated analysis. Yet this expansion risks creating a verification gap, in which the volume of scientific claims outpaces the community’s capacity to check their reproducibility. We argue that the same LLM capabilities driving scientific output can be redirected toward scalable verification. As a demonstration, we share insights and lessons from our attempt to reproduce the core results of popular classical papers across disciplines, which yielded not only successful cases but also failures due to underspecified methodological details. This means that automated replication does not adjudicate scientific truth, but it localizes discrepancies and documentation gaps, lowering the cost of computational reproducibility checks. We thereby propose embedding LLM-assisted replication across the research lifecycle, from pre-submission quality check, journal-integrated verification, post-publication audits, to forensic reconstruction of legacy studies. To prevent misuse and preserve trust, we call for transparent standards and community governance. If institutionalized responsibly, AI can serve not only to generate science, but to scale its self-correction.

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"LLM-Assisted Replication as Scientific Infrastructure", V2 of our preprint about how to use LLM to make better rather than more papers and assess the extent of the replication crisis in sociology osf.io/preprints/so...

1 month ago 24 9 0 2

cc @cos.io @orcid.org

1 month ago 3 1 2 0
A Study on Customer Support Team Configuration and
Service Quality in Financial Services Enterprises

A Study on Dispatcher Scheduling and Service On-Time
Rate in Urban Public Transportation Systems

A Study on the Impact of Member Mobility on Research
Output in University Research Teams

Authors
Matthew R. Collins1, Daniel T. Harris2, James A. Wilson3*
Affiliations
Melbourne School of Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
Corresponding author: james.wilson@unimelb-placeholder.edu

Abstract
Customer support teams play a crucial role in ensuring service quality in financial services
enterprises, and the rationality of their staffing directly affects customer experience. This study
analyzes the relationship between staff size and service quality indicators, focusing on the
configuration characteristics of customer support teams. Based on 18 consecutive months of
operational data from the customer support center of a financial services enterprise, the sample
includes 96 service teams, 2,430 customer service personnel, and over 3.2 million customer
service records. Service quality is measured by average response time, first-time resolution rate,
and customer satisfaction score. A generalized 1
configuration variables on service quality
customer service team is controlled withi

A Study on the Relationship between Labor Structure and
Production Efficiency in Overseas Factories of Multinational
Manufacturing Enterprises

Authors
Sebastian Weber1, Lukas Schneider2, Johannes Müller3*
Affiliations
Department of Civil, Geo and Environmental Engineering, Technical University of Munich
(TUM), 80333 Munich, Germany
*Corresponding author: johannes.mueller@tum-placeholder.edu

Abstract
Public transportation systems have high requirements for service on-time rate, and the
rationality of dispatcher scheduling directly affects operational stability. This study analyzes the
relationship between dispatcher scheduling and service on-time rate. The stud…

A Study on Customer Support Team Configuration and Service Quality in Financial Services Enterprises A Study on Dispatcher Scheduling and Service On-Time Rate in Urban Public Transportation Systems A Study on the Impact of Member Mobility on Research Output in University Research Teams Authors Matthew R. Collins1, Daniel T. Harris2, James A. Wilson3* Affiliations Melbourne School of Engineering, The University of Melbourne, Parkville, VIC 3010, Australia Corresponding author: james.wilson@unimelb-placeholder.edu Abstract Customer support teams play a crucial role in ensuring service quality in financial services enterprises, and the rationality of their staffing directly affects customer experience. This study analyzes the relationship between staff size and service quality indicators, focusing on the configuration characteristics of customer support teams. Based on 18 consecutive months of operational data from the customer support center of a financial services enterprise, the sample includes 96 service teams, 2,430 customer service personnel, and over 3.2 million customer service records. Service quality is measured by average response time, first-time resolution rate, and customer satisfaction score. A generalized 1 configuration variables on service quality customer service team is controlled withi A Study on the Relationship between Labor Structure and Production Efficiency in Overseas Factories of Multinational Manufacturing Enterprises Authors Sebastian Weber1, Lukas Schneider2, Johannes Müller3* Affiliations Department of Civil, Geo and Environmental Engineering, Technical University of Munich (TUM), 80333 Munich, Germany *Corresponding author: johannes.mueller@tum-placeholder.edu Abstract Public transportation systems have high requirements for service on-time rate, and the rationality of dispatcher scheduling directly affects operational stability. This study analyzes the relationship between dispatcher scheduling and service on-time rate. The stud…

Someone went to the trouble of creating 5 fake OSF accounts today, linking to 5 fake ORCID accounts, and generating 5 fake papers to submit to SocArXiv, with fake author and emails. Dude, if you are reading this, I hope you get the help you need (or a better job).

1 month ago 124 47 5 9

Amid the AI influx, SocArXiV continues to be an important critical voice in/for the social sciences

1 month ago 1 1 0 0

At @socarxiv.bsky.social, we do not insist that papers are "academic," or destined for a scholarly journal. However, one thing our moderators do - without a full-blown review, often outside their specialty - is ask whether people who really are subject experts might be interested to read it.
/1

1 month ago 9 3 1 1
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A not so bold proposal for the future of scientific publishing Around 15 years ago I wrote a blog post about how we could open up more of the scientific process. The particular emphasis that I had in min...

"Preprint servers are a time machine, they move everyone forward 12 months and speed up the exchange of ideas"
ht @pedrobeltrao.bsky.social www.evocellnet.com/2021/06/a-no...

1 month ago 44 17 0 0

Phil Lewis, meet @philipncohen.com

1 month ago 6 0 1 0
We feel the need to express our humanity in this process. We insist on making human judgments, using our perception, judgment, and experience – and will not defer to automated systems, or enter into a technological arms race to defeat the (people who run the) machines. We strive for fairness, but make no promise of an algorithmically pure policy.

We feel the need to express our humanity in this process. We insist on making human judgments, using our perception, judgment, and experience – and will not defer to automated systems, or enter into a technological arms race to defeat the (people who run the) machines. We strive for fairness, but make no promise of an algorithmically pure policy.

SocArxiv @socarxiv.bsky.social just released an AI policy, which I had a hand in crafting.

@phillewis.bsky.social sums up the spirit of the policy well.

socopen.org/2026/03/09/s...

1 month ago 101 31 4 5
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Chief Executive Officer - New York City, New York (US) job with arXiv | 37961678 arXiv seeks its first CEO to champion open, free scientific discovery and guide the platform’s next chapter as an independent nonprofit.

Big news from #arXiv:
jobs.chronicle.com/job/37961678...

1. It's becoming an independent #nonprofit organization.
2. It's leaving #CornellU and moving to NYC.
3. It's hiring a CEO, with a salary in the range of $300k.

#OpenAccess #Preprints #ScholComm

1 month ago 13 12 0 1
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How AI use in scholarly publishing threatens research integrity, lessens trust, and invites misinformation Since 2023, a significant number of published scholarly papers show signs of having been edited using AI tools. These tools are also being used to review papers and search and discovery tools, in ways...

This is good. The slop tsunami is coming for scholarship at a very bad time.

One thing I would add: generating papers is the worst thing LLMs can do in the research ecosystem, where we really need fewer papers to review and publish, not more.
/1

1 month ago 23 6 1 0
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1 month ago 1 0 0 0

THE SWITHEROO
Hey, I have a new WP out now on @socarxiv.bsky.social !

In the paper, I study the full network of partnerships in Norway since 1967 up to today. I examine the general structure of the partnerships network, and the existence of a specific type of network: the partner switcheroo. 1/x

1 month ago 26 8 1 1