PSICUMEX Journal receives articles in Spanish and English in all areas of Psychology, resulting from original, unpublished research that contributes to the advancement of knowledge in the discipline in the opinion of the editorial committee and the assigned reviewers. The general criteria are: precision, completeness, clarity, simplicity and interest for the Journal. Occasionally, and depending on the importance of the contribution, theoretical reflection articles based on original research and book reviews are received.
Manuscripts must be unpublished and will be submitted for consideration through the Journal's platform, maintaining the anonymity of the examiners. Authors must register and then submit their article by following the corresponding links. Papers should not exceed 7,500 words and should be fully consistent with the recommendations of the APA manual (American Psychological Association, 2019 - 7th. English Edition). In case of doubt about any aspect of format or content, please refer to these guides to resolve it.
All articles must comply with the ethical standards established by APA codification, the Mexican Society of Psychology, or the relevant corresponding body. As such, authorization from the corresponding Ethics Committee as well as the authorization number must be attached to the OJS platform in the submission section. Likewise, the article must explain how informed consent was obtained and how ethical requirements were considered when the research was carried out. The article must be written in Spanish.
Declaration of generative AI and AI-assisted technologies in the writing process
Statement: During the preparation of this work the author(s) [NAME(S)] used [Name TOOL/SERVICE] in order to [REASON]. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsability for the content of the published article.
Report on the use of Artificial Intelligence (AI)
Psicumex Journal, is in accordance with the Heredia Declaration (Penabad-Camacho et al., 2024), uses the Guide for the Regulation of Artificial Intelligence (AI) Use in Scientific and Academic Social Science Journals to report on its use in scientific texts authored by Liana Penabad-Camacho, María Morera-Castro, and María Amalia Penabad-Camacho (2024) to provide guidance for promoting transparent, responsible, and ethical reporting of artificial intelligence in the production of scientific articles.
Reference
Penabad-Camacho, L., Morera-Castro, M., & Penabad-Camacho, M. A. (2024). Guía para uso y reporte de inteligencia artificial en revistas científico-académicas. Revista Electrónica Educare, 28(S), 1-41. https://doi.org/10.15359/ree.28-S.19830
Penabad-Camacho, L., Penabad-Camacho, M. A., Mora-Campos, A., Cerdas-Vega, G., Morales-López, Y., Ulate-Segura, M., ... y Castro-Solano, M. M. (2024). Declaración de Heredia: Principios sobre el uso de inteligencia artificial en la edición científica. Revista Electrónica Educare, 28(1), 1. https://doi.org/10.15359/ree.28-S.19967
Report on the use of Artificial Intelligence for publishers
Psicumex Journal declares that it does not use artificial intelligence during the editorial management of articles based on the following points proposed in the Guide for the Regulation of Artificial Intelligence (AI) in scientific-academic journals in the social sciences to report its use in scientific texts (Penabad-Camacho et al., 2024):
Editing, reviewing, and authorship roles are carried out by humans who can mediate the process of publishing scientific documents. In exercising these roles, individuals must be trained to adopt and promote responsible practices in scientific communication and artificial intelligence. AI should not replace the responsibilities or accountability of the individuals who perform these roles. Nor should the editorial process depend exclusively on AI-related actions.
Report on the use of Artificial Intelligence for authors
Psicumex Journal follows the Guide for the Regulation of Artificial Intelligence Use (Penabad-Camacho et al., 2024), whose principle is that only humans can take on the role of authorship, with artificial intelligence being implemented as an assistance tool. It establishes that authors must declare their use of AI. In addition, authors must identify the stage, or stages in which AI was used to develop the article. Therefore, it is suggested that the following checklist of recommendations and best practices be used to report the use of AI in scientific articles/texts. The steps authors have taken using AI must be clear enough for others to understand and replicate research.
The following concepts within the Guide must be understood:
Prompt: a statement or instruction in natural language given by a user to an AI model to obtain a product (Zielinski et al., 2023). Ramos Pollán (2020, p. 33) emphasizes that the practical applications of these systems or models will depend, among other things, on “our ability to define what we want to obtain from them with sufficient specificity.”
Initial prompt: the first query or instruction given to the AI, from which secondary and complementary queries or instructions are derived.
Secondary prompt: query or instruction (or series of queries or instructions) given to the AI to narrow down or obtain more information about the initial prompt by:
Enrichment: adding additional features to the initial prompt;
Expansion: adding variables or conditions not included in the initial prompt;
Refinement: narrowing down or refining the initial prompt;
Clarification: requesting more information to clarify the product or response generated by the AI to an initial or secondary prompt.
Complementary prompt: instruction given to the AI to complement the product of the query performed (initial and secondary prompts) once a satisfactory result is considered to have been achieved. For example: improving aspects of writing and spelling or formatting, applying a citation standard, systematizing into smaller units, transforming into other formats (audio, audio transcripts, GIFs, video clips, tables, diagrams, etc.) or performing a translation.
Prompt network: this refers to the network that shows the relationships between prompts—initial, secondary, and complementary—that have been used to complement different components of the research or writing process for an article.
Note: List of reports on the use of AI taken from Penabad-Camacho et al. (2024) https://doi.org/10.15359/ree.28-S.19830
American Psychological Association (APA). (2020). Publication Manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000