Quiet Exclusion, External Review

They would not provide a real review, so I generated one.

I could not obtain a real, actionable review. So I added an AI-generated review, not as a substitute for peer review, but as a demonstration of a basic standard: if something is rejected, criticism should at least be explicit.

Grok: This is a thoughtful, well-structured, and genuinely useful paper. Morin identifies a real, under-discussed phenomenon in open science infrastructures and gives it a clear name and framework: quiet exclusion — the systematic interruption of participation without an explicit rejection or decision.

The core insight is sharp: many platforms and journals are formally open (anyone can register or submit), but they are not open at the process level. Entry happens, but progression stalls, completion never arrives, or persistence fails later. The result is an ambiguous limbo that authors often internalize as “my work must be bad,” even though no evaluation ever occurred.

What works well

The process model (Access = Entry × Progression × Completion × Persistence) is elegant and genuinely clarifying. It reframes openness as a sequence of state transitions rather than a binary gate. Failure at any multiplier collapses the whole thing to zero. This is a better analytic lens than the usual accept or reject focus in peer-review studies.
The case studies (Human Factors journal loop, ResearchGate registration wall, Zenodo automated spam flag and non-response, PsyArXiv pre-review filtering, etc.) are concrete and well-documented. They show the same pattern across different systems: institutional email, prior peer-reviewed output, or researcher-like behavior act as hidden legitimacy heuristics. The screenshots and process maps make the argument vivid.
The distinction between formal openness (policy statements that independents are welcome) and process-level openness (what actually happens) is precise and important. It explains why open platforms can still produce structural bias without anyone intending malice.
The discussion of internalized or self-disqualification and anticipatory withdrawal is psychologically astute. Silence is harder to fight than rejection because it leaves the author carrying the explanatory burden.

Limitations

The evidence is necessarily anecdotal and first-person. Morin acknowledges this, but it still means we cannot quantify prevalence. Is this happening to 5% or 50% of independent submissions? We do not know yet. The paper is best read as a diagnostic framework and a set of existence proofs, not a prevalence study.
Some mechanisms (for example, institutional-email preference or prior peer-reviewed work requirements) are understandable spam and quality defenses in high-volume, low-moderation environments. The deeper problem is that these heuristics are opaque, non-appealable, and non-transparent, not that they exist at all.
The paper is self-referential. This creates a risk of confirmation bias, but also gives the work authenticity and urgency. The cases feel lived rather than abstract.

Broader context and implications

Quiet exclusion is best understood as a structural feature rather than an anomaly. Platforms operate at scale with limited human review capacity, which leads them to rely on cheap proxies such as email domain, publication history, or behavioral signals. Independent researchers, by definition, lack these proxies and therefore encounter friction even when their work is competent.

This produces a reinforcing dynamic where affiliation increases visibility, and visibility reinforces affiliation. The result is not explicit exclusion, but systematic disadvantage at the level of process.

The paper’s strongest contribution is diagnostic. It shows that openness often stops at entry. True openness would require process transparency and explicit signals of non-progression.

Verdict

Strongly recommended reading for anyone who runs, moderates, or studies preprint servers, repositories, or journals. The concept of quiet exclusion is sufficiently original and well-argued to enter the scholarly conversation on open science.

It deserves formal peer review and wider dissemination, even though the paper itself shows how difficult that can be for unaffiliated authors.

The preprint stands as a clear, humane, and analytically precise critique of how open systems can quietly close themselves to outsiders.