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[PRE REVIEW]: idiolect: An R package for forensic authorship analysis #7167
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Five most similar historical JOSS papers: quanteda: An R package for the quantitative analysis of textual data Fast, Consistent Tokenization of Natural Language Text R-Opitools – An Opinion Analytical Tool for Big Digital Text Document (DTD) text2map: R Tools for Text Matrices Arabica: A Python package for exploratory analysis of text data |
Suggested reviewers: Mike Kestemont (@ mikekestemont) |
Hi @andreanini thanks for submitting to JOSS. |
@editorialbot query scope |
Submission flagged for editorial review. |
Hi @samhforbes, can you just clarify what you mean by "size"? The package has more than 1,000 lines or R code and it's the result of more than three months of work over 125 commits. I can only see these two criteria in your guidelines regarding size. If there are any other concerns regarding the other parameters please let me know and I'll see if I can provide any clarifications. The package has not been cited yet because it's new but it has the potential of being widely cited. The publication of the paper in JOSS would also help in that regard, of course. I'm concerned by the fact that I cannot see any paper in the closed issues that has been flagged by query-score and then accepted, which seems to suggest that this might amount to a desk-rejection effectively. |
@andreanini - My guess is that about 10-20% of scope queried submissions get accepted for review, and about 75-80% of those do get accepted. |
Thank you for your clarification, @danielskatz. Before I submitted the paper my impression was that my contribution fitted the criteria and I thought the stats about lines of code confirmed this. If you could let me know what other concerns you have I can try to provide some comments to address them. |
Hi @andreanini thanks for your patience. Following editorial review we are happy to proceed with reviewing idiolect. |
@editorialbot assign me as editor |
Assigned! @samhforbes is now the editor |
Hi @thomaskrause, @stefanocoretta and @mikekestemont would any of you be willing to review this submission for us? We follow these review guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html |
Sure! @editorialbot generate my checklist |
@editorialbot add @stefanocoretta as reviewer |
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@editorialbot add @stefanocoretta as reviewer |
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Submitting author: @andreanini (Andrea Nini)
Repository: https://github.com/andreanini/idiolect
Branch with paper.md (empty if default branch): joss
Version: v.1.0.1
Editor: @samhforbes
Reviewers: @stefanocoretta
Managing EiC: Samuel Forbes
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