Toward a Horizon of Meanings and Comprehensive Possibilities. Contributions and Challenges in the Phenomenological Hermeneutic Approach
Bibliographic record
Abstract
Abstract This chapter synthesizes the principal findings of a hermeneutic-phenomenological investigation into the lived experience of individuals diagnosed with borderline personality disorder (BPD). Integrating Interpretative Phenomenological Analysis and microphenomenological methods, the study offers a nuanced portrayal of BPD beyond clinical symptomatology. The results reveal persistent experiential dimensions such as a fragmented sense of identity, pervasive self-punishment beliefs, emotional volatility, and relational turbulence. The narrative flow of these experiences is marked by sensory disruptions, dissociative episodes, and complex cognitive-emotional loops. Importantly, the study highlights the dual role of self-regulation strategies as both adaptive and potentially harmful. The methodological innovation lies in the layered articulation of reflexive and prereflexive data, mapping existential depth and moment-to-moment experience. The chapter further reflects on the epistemological and clinical implications of this integrative approach, underlining the importance of phenomenological rigor in understanding mental suffering. It argues for a shift in therapeutic paradigms—away from symptom labeling and toward the recognition of meaning structures embedded in each individual’s experiential world. This chapter is both a culmination of empirical insights and a conceptual proposal for future research and psychotherapeutic practice grounded in phenomenological ethics.
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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 | 0.017 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.074 |
| Scholarly communication | 0.015 | 0.018 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".