Evidence map›Paper›PMID 42036504›Full record

ArticleIntegrative psychological & behavioral science2026

"Protein Shake Brain" and the Alpha Function: Restoring Authorship in Engineered Epistemic Ecologies.

Roi Ezra, Moshe Mishali

Abstract read
In one paragraph

Article in Integrative psychological & behavioral science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Roi Ezra
Moshe MishaliSchool of Public Health, independent practice and consulting in organizational and psychotherapy, University of Haifa, Haifa, Israel. change1965@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In today’s engineered epistemic ecologies, a new phenomenological marker we argue is emerging: thoughts that are present but not possessed—fluent formulations that are cognitively available yet not subjectively owned. This paper introduces “Protein Shake Brain” (PSB) as a cultural-psychological diagnosis for the loss of symbolic metabolism through the outsourcing of intellectual labor. Drawing on integrative psychodynamic theory (Bion, Winnicott, Bollas), we trace a psychodynamic cascade—a theoretical diagnostic framework—from AI’s position as a “Subject Supposed to Know” into evasive non-thinking (–K) and the rise of a hollow Transmissive Self. Methodologically, the paper employs an integrative conceptual approach, combining psychoanalytic theory with cultural-semiotic and systems perspectives to articulate a unified model of sensemaking. We frame this not as individual failure but as a systemic-cultural phenomenon. As a constructive theoretical contribution, this paper proposes the 4Ps Protocol (Pause, Probe, Process, Possess) as a structured symbolic intervention designed to counter this cascade. This protocol re-introduces productive friction to strengthen the alpha-function (Bion’s term for metabolizing experience into thought) and restore the generative act of knowing. The contribution is twofold: (1) a theoretically grounded diagnostic framework (the PSB cascade) that integrates psychoanalysis, cultural psychology, and systems thinking; and (2) a structured intervention (the 4Ps) designed to restore epistemic authorship and inform future human–AI collaboration within reflective epistemic systems.

Indexed as

Artificial IntelligenceAuthorshipKnowledgePsychoanalytic TheoryHumansAlpha-functionArtificial intelligenceAuthorshipCultural psychologyEpistemic ecologiesPsychodynamicsSensemaking

Identifiers

PMID42036504
PMCPMC13111509

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.