Moments of Chaos. A Temporo-Spatial Observation of Emotional Instability From a Microphenomenological Analysis
Bibliographic record
Abstract
Abstract This chapter delves into the fluctuating inner states associated with emotional turbulence in individuals diagnosed with borderline personality disorder, through the lens of microphenomenological investigation. By focusing on the unfolding of internal episodes in both time and space, this study provides a fine-grained description of how emotional surges emerge, evolve, and subside. Drawing from interviews conducted under this method, the analysis identifies key patterns and experiential shifts that occur during these episodes, offering insight into the structure of affective breakdowns and recoveries. The chapter is structured around several layers of examination, including diachronic progression, synchronic configurations, and thematic constellations that reveal the dynamic interplay between perception, bodily reactions, and meaning-making. This temporo-spatial framing of emotional episodes uncovers the rhythms and textures of instability as they are subjectively lived, highlighting the importance of capturing subtle shifts that typically remain beneath reflective awareness. Ultimately, this approach aims to contribute to a deeper understanding of complex affective phenomena and provides a methodological framework for future qualitative inquiry into unstable affective states.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".