Am I competent enough to be doing this?: A qualitative study of trainees’ experiences working with clients who self-injure
Bibliographic record
Abstract
This study examined the experiences of counsellors in training working with clients who present with non-suicidal self-injury (NSSI) as a basis for understanding how trainees react to and resolve the challenges presented by difficult counselling cases. A qualitative data analysis using consensual qualitative research [Hill, C.E., Knox, S., Thompson, B.J., Nutt Williams, E., Hess, S.A., & Ladany, N. (2005). Consensual qualitative research: An update. Journal of Counseling Psychology, 52, 196–205; Hill, C.E., Thompson, B.J., & Nutt Williams, E. (1997). A guide to conducting consensual qualitative research. The Counseling Psychologist, 25, 517–572] was conducted on 12 transcribed interviews of Master's level trainees who had recently worked with at least one client who self-injured. Three general themes were reflected by the data. Specific to NSSI the findings revealed that trainees created an intuitive model of NSSI that reflected some understanding of the phenomenon despite little or no prior exposure to 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 | 0.021 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".