Organizing Awareness and Increasing Emotion Regulation: Revising Chair Work in Emotion-Focused Therapy for Borderline Personality Disorder
Bibliographic record
Abstract
Emotion-focused therapy (EFT) is an empirically supported treatment that may have potential as a stage-two treatment for borderline personality disorder (BPD). Specific aspects of BPD--the tendency to experience fluctuating self-states; weakness in meta-cognitive or reflective functioning; and the tendency for self-states to be organized by presently occurring interpersonal processes--present challenges to applying some EFT interventions with this population. In particular, even within a highly attuned, validating and accepting empathic relationship, clients with BPD may have difficulty with the usual manualizations of chair work interventions. This is because these interventions often employ polarization and intensification of experience in order to activate adaptive alternate emotional resources and self organizations. For the client with borderline personality disorder, these interventions may be counter-productive, emotionally dysregulating and disorganizing. EFT chair work, however, also has the potential to provide structure to the borderline clients experience of self, to stimulate metacognitive awareness, provide an alive experience of the process of polarization, attenuate emotional activation, and increase the experience of self-coherence. This article describes the development of stepwise approximations of EFT two-chair intervention for self-critical splits. It outlines potential stages of two-chair work as well as intervention principles important for productive chair work with this population. The EFT change principles of awareness, expression regulation, reflection, transformation, and corrective experience still centrally apply. However, several additional strategies are discussed to scaffold clients' capacity to both experience and regulate emotion.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".