Emotion in an alliance rupture and resolution sequence: A theory‐building case study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aims : Alliance rupture and resolution processes are occasions for the client to have his or her core interpersonal patterns activated in the here and now of the therapy and to negotiate them with the therapist. So far, no studies have been conducted on emotional processing, from a sequential perspective using distinct emotion categories, in alliance rupture and resolution therapy sessions. This is the objective of this theory‐building case study. Method : This client underwent a 34‐session long, psychodynamic psychotherapy within the context of an open trial. An alliance rupture‐resolution sequence of two subsequent sessions, along with a third control session, was selected from this case and these sessions were rated using the Classification of Affective‐Meaning States (CAMS), an observer‐rated method to classify distinct emotions, according to current emotion‐focused models. Results : The results indicate that the rupture session was associated, above all, with core maladaptive fear, evoked in the actual here and now of the therapeutic relationship, whereas the resolution session was associated with the expression and experience of adaptive hurt as regards biographical issues of the client. Discussion : These results are discussed with regard to the alliance rupture and resolution model and the exploration of integrating client's emotional processing in the model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it