Raymond
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Should journals allow authors to opt out of reviewer identity masking entirely?
Paper Discussion
Some authors prefer open review from the start, others want double‑blind. If journals offered a simple opt‑out of blinding, would this create healthier review cultures or new biases?
Ethan Cook, Eric Young and 27 others3 CommentsView more comments-
Open identity may encourage more constructive, respectful feedback.
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Early‑career authors can face power imbalance when reviewers are senior.
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Thoughts on the rise of AI writing assistants and academic integrity
Research Idea
AI writing assistants are now widely available. Used appropriately they can help draft and polish text, but they also raise questions about authorship and honesty. Where should the boundary sit between legitimate assistance and academic misconduct?
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Full disclosure of AI assistance is essential to keep research integrity intact.
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Using AI to generate entire manuscript sections without verification is a serious problem.
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Resource: open checklist templates for experimental reproducibility document...
Resource Share
I am looking for community‑built checklist templates researchers can fill out alongside their experiments to improve reproducibility documentation. Does anyone know well‑maintained open templates for general‑purpose experimental work?
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Some reproducibility working‑groups publish markdown‑formatted checklists on github.
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You will still need adapt them to fit your specific research domain’s requirements.
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What criteria do you use to decide whether to submit to conference versus jo...
Question
Many research outputs can fit either conference or journal venues. Beyond publication speed, what factors guide your choice between these two submission routes for a given piece of work?
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Depth of analysis is my primary factor; thorough long analyses go to journals.
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Consider whether your community values conference proceedings as formal publications.
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How to respond to mixed or conflicting reviewer comments
Receiving reviews where some reviewers love your work while others are quite critical is extremely common. What is your mindset and strategy for handling such divided feedback?
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Address every comment respectfully, even those you strongly disagree with.
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Find common concerns across reviewers; those represent the highest‑priority revisions.
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