Relational Hypnotherapy for a Phobia of Blood and Needles: A Context-Enriched Conversation Analysis
Bibliographic record
Abstract
Although clinical hypnosis has been studied in a variety of ways, most researchers have focused on individual approaches; few have examined relational models influenced by Gregory Bateson's systemic concepts. This article explores how the second author, the developer of a relational approach to hypnotherapy, successfully helped a client who desired to have a baby but could not see or talk about blood, needles, or medical procedures without fainting. Using context-enriched conversation analysis (CECA), the authors examined multiple sources of data, including selected audio-recorded excerpts from the hypnotherapeutic sessions; the client's descriptions of change in her email correspondence with the second author; and the second author's case notes. Although there were a total of eight sessions, this article primarily concentrates on what transpired during the first two sessions of a single case. The authors address clinical and research implications for hypnosis, brief and family therapy, and psychotherapy in general.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".