Joao B. P. Soares

Peer review is often described through principles, best‐practice policies, and checklists, but its strengths and failures become clearer when they are examined through concrete examples. In this article, we present a fictional case study designed to illustrate recurring patterns in reviewer reports, editorial decision‐making, and author responses. The case study begins with a plausible but scientifically flawed mock manuscript proposing a shape‐corrected Ergun equation for pressure drop in packed beds of non‐spherical particles. Seven fictional reviewer reports are then used to illustrate common reviewing archetypes: the Conscientious Reviewer, the Superficial Reviewer, the Hypercritical Reviewer, the Algorithmic Reviewer, the Research Director, the Business Director, and the Citation Collector. The reports are followed by an analysis of which comments are useful, which are disproportionate, which exceed the reviewer's mandate, and which require editorial filtering. Two contrasting editorial decision letters further emphasize that peer review should not be treated as a vote‐counting exercise: reviewers advise, but editors decide. The article argues that good peer review requires more than technical competence. It requires proportionality, ethical judgement, editorial responsibility, and respect for the distinction between improving a manuscript and redesigning the authors' study. The fictional case study is intended as a practical teaching tool for reviewers, editors, and authors seeking to improve the culture of peer review.

Peer review is essential for scientific progress. When it works well, it combines expertise, fairness, proportionality, skepticism, generosity, and discretion. When it fails, it becomes a theatre for egotistical display, laziness, coercion, and, lately, reliance on artificial intelligence tools. Editors, reviewers, and authors must join forces to ensure that peer review remains a reliable instrument for judging the quality of scientific publications. The purpose of this article is to clarify the reviewer's mandate: the rigorous and fair assessment of scientific work, done by human experts who understand that it is not their role to redesign the authors' research program, manipulate citations to their own benefit, outsource judgement to large language models, or to violate the trust on which the peer review principles depend.

A spring–dashpot model, consisting of a spring branch and two Maxwell (named long- and short-term) branches, was used to simulate stress drop during the relaxation stages of multi-relaxation (MR) tests. This work shows that the stress drop at relaxation in a deformation range around the peak stress could be closely simulated without changing the parameter values for the short-term branch. This possibility was confirmed using three ethylene/1-hexene copolymers and one ethylene homo-polymer, among which the main differences are mass density and short-chain branch (SCB) content. The work examined the influence of SCB content and mass density on the stiffness of the two Maxwell branches, and the results showed that, unlike the long-term branch counterpart, stiffness of the short-term branch is not a monotonic function of the SCB content or the mass density. This led to a discussion on the possible relationship between the stiffness of the two Maxwell branches and the deformation resistance of the amorphous phase at different locations of the microstructure, i.e., in the interlamellar region and as part of the network structure. The paper concludes that a combination of the MR test and the spring–dashpot model could provide information that is related to the stiffness in different parts of PE’s amorphous phase, though further work is needed to verify this conclusion.