When Sisyphus Falls: Creation Through Destruction in the Search for Identity
Bibliographic record
Abstract
This paper introduces The Sisyphus Complex (TSC), a novel framework for understanding patterns of identity fragility, relational instability, and covert harm propagation. TSC is defined by the compulsive creation of externalized identity scaffolding, strategic role adoption, and triangulated relational matrices that sustain a fragmented sense of self. Drawing on psychoanalytic theory, trauma literature, quantum metaphors, and systems thinking, the work positions TSC as a distinct clinical and theoretical construct that does not fit neatly within existing personality disorder models. Central concepts include the frightened child as an unseen system architect, the interplay of tactical victimhood and symbiocidal dynamics, and the gradual accumulation of ambiguous harm across relational contexts. The dissertation emphasizes the disorienting dualities generated through relational superposition, wherein both self and other are maintained in suspended interpretive states, and explores the countertransference challenges these dynamics pose to therapists. Finally, it outlines directions for future research in forensic psychology, sociological systems, digital identity, and clinical assessment, establishing TSC as an emergent phenomenon requiring nuanced interdisciplinary inquiry.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.063 |
| Scholarly communication | 0.012 | 0.021 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".