Cracks in the pattern: Gallagher’s theory of the self and the dynamics of schizophrenic selfhood
Bibliographic record
Abstract
The contemporary debate on selfhood in philosophy, psychiatry, and cognitive science unfolds most often between two opposing tendencies: reductionism, seeking to identify a fundamental and minimal core of selfhood, and eliminativism, denying the existence of the self. Shaun Gallagher's Pattern Theory of the Self (PTS) has emerged as a promising alternative approach. By defining the self as a dynamical gestalt composed of heterogeneous elements and a multiplicity of interacting processes-including embodied, affective, cognitive, narrative, and social dimensions-the PTS offers an integrative and pluralist account of the self. Nevertheless, while the PTS succeeds in avoiding essentialism and supporting pluralism it faces the challenge of providing concrete tools to analyze the organization of self-patterns, particularly in pathological cases such as schizophrenia. We propose a reframing of PTS through the concept of architectonics, rooted in Kantian philosophy and developed in the phenomenological tradition. The architectonic view allows for a stratified and genetic account of self-patterns, attentive to the polyrhythmic unfolding of lived experience across multiple temporal and structural layers. Furthermore, it enables a fine-grained analysis of pathologies and recovery of the self, notably in schizophrenia spectrum disorders, where selfhood appears to be fractured.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.019 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".