Change Processes in Emotion-Focused Therapy and the Work That Reconnects
Bibliographic record
Abstract
Abstract Leslie Greenberg and Joanna Macy are progenitors of two approaches to accessing and transforming emotional experience to promote integration, empowerment, and deeper communion with aspects of the self and the world. Greenberg has spent decades researching emotional processes in psychotherapy (Emotion-Focused Therapy, EFT). Macy has over the same time developed an experiential group process model designed to unleash human intention for change in light of existential threats to peace and environmental sustainability (the Work That Reconnects, WTR). In this paper, I discuss EFT and WTR as models of human functioning and highlight the emotional and change processes inherent to each model. Broadly speaking, EFT operates on the principle that engagement in and experience of emotional memories makes problematic emotions receptive to new, adaptive input and better functioning. Similarly, WTR operates on the principle that the expression of emotions associated with human interconnectedness with all life i...
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".