Should your lips be zipped? How therapist self‐disclosure and non‐disclosure affects clients
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
Abstract Is therapist self‐disclosure a therapeutic technique or a therapeutic mistake? Is it useful? Is it ethical? This study attempts to address this controversy among therapeutic modalities by asking clients about their perceptions of self‐disclosure and non‐disclosure. Eighteen people (16 women, two men), currently in therapy in two Canadian cities, generated 157 incidents of both disclosure and non‐disclosure. The incidents were first coded as helpful or unhelpful. Cross‐tabulation of the results showed that disclosures were more than twice as likely to be experienced as helpful; non‐disclosures were twice as likely to be unhelpful ( χ 2 (3, N =157) = 14.439, p ≤0.002). One‐quarter of these incidents was coded by two independent raters; inter‐rater reliability was high (Pearson corr. ranged from 0.755 to 1.0, p ≤0.01). The data was then sorted, using the Constant Comparison method, into themes, starting with, but not limited to, the themes suggested by the literature. The greatest single effect was on the therapeutic alliance, both positive and negative. Clients’ perceptions of helpful disclosures and non‐disclosures generally supported therapists’ rationales. There was also some evidence that when clients found disclosures unhelpful, the reasons also supported theoretical rationales against disclosing. Rather than simply supporting either position in the controversy, this study suggests that skill, or lack of it, was the intervening variable that affected the perceptions of both techniques. Further research on the effects of skill on both disclosure and non‐disclosure are warranted. This study has implications for both researchers and practitioners.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it