Pasados is publishing a special issue, “Against the Past/Contra Pasados” (Winter 2026). Click here for our Call for Papers.
To submit an article for consideration in an upcoming issue please click the blue button.
Peer Review Policy
All research articles, and most other article types, published in Pasados undergo peer review. This usually involves review by at least two independent, expert peer reviewers.
Peer reviewer selection is critical to the publication process. It is based on many factors, including expertise, reputation, specific recommendations, conflict of interest, and previous performance. Speed, thoroughness, sound reasoning, and collegiality are highly desirable.
On occasion, an Editor may act as a second reviewer or make a decision using only one report.
We may allow authors to suggest potential reviewers, and to request that some be excluded from consideration (usually a maximum of two people/research groups). We will consider these requests, but are not obliged to fulfill them. The Editor’s decision on the choice of peer reviewers is final.
There should not be direct correspondence between authors and peer reviewers; communication is mediated by the Editor.
Policy on the Use of Artificial Intelligence (AI)
Pasados does not allow the use of generative AI tools to compose any of the content submitted for publication, including narrative text, citations, images, and captions. An article’s content must be the original work of one or more individuals named as authors.
Software that performs grammar and spelling checks is not considered generative, and does not require disclosure. Authors may use AI tools for transcription assistance, for example, to transcribe interviews. If using AI tools for an author’s translation of their own work, these must be disclosed. Use of AI tools for translations of sources that are not original to the submitting author are not accepted. When in doubt about whether a tool is a standard editorial aid, it is the author’s responsibility to contact the journal editors for clarification before submitting.
Because AI and Large Language Models (LLMs) do not meet legal criteria for authorship, authors alone remain fully responsible for the content of their submissions.
Authors are required to affirm their compliance with this policy at the time of submission. If violations of the policy are discovered at any point in the submission and publication process, submissions will be rejected or (if already published) retracted.
Licensing
To facilitate the Open Access digital publication of the journal, it will be distributed under a Creative Commons Attribution Non-Commercial No-Derivatives 4.0 International (CC BY-NC-ND 4.0) license or a successor license selected by the Publisher.
