The client as expert: Researching hindering experiences in counselling
Bibliographic record
Abstract
This paper identifies the importance of valuing clients’ experiences when seeking to understand hindering experiences in counselling. Since the research literature reports that client perceptions of counselling are better predictors of outcome than counsellor ratings, client viewpoints are critical to furthering understanding of hindering experiences. Clients are generally reluctant to share negative experiences and a discussion regarding the difficulty in soliciting these experiences is presented. Examples of the process of conducting a client-oriented investigation into hindering experiences convey some of these difficulties. Several implications for counselling practice are addressed: (1) the need for counsellors to notice and repair hindering experiences, (2) the value of attending to the quality of the relationship, (3) the need for counsellors to cultivate flexibility and responsiveness, and (4) the use of methods to encourage clients to share their unspoken experiences.
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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 | 0.013 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".