EXPERIENCED CLINICIANS: TRAUMA RECOVERY AND THE HEALER
Bibliographic record
Abstract
The prevalence of childhood abuse in Canada is reflected in the experience of many clinicians. While some studies examine the lives of these Experienced Clinicians, few examine this issue from a relational perspective. The purpose o f this qualitative study was to describe, using their own voices, the essence of the experience of Experienced Clinicians, to examine and understand their experience of recovery and resilience and how this has influenced their professional lives. The data came from interviews with clinicians who report a history of childhood abuse and who have a current clinical practice. The participants were asked to describe, (a) the factors and experiences that influenced their recovery from childhood abuse, and (b) how these experiences have shaped and influenced their clinical practice. This study merges theoretical, educational, and practice literature and provides recommendations for graduate level education and support for clinicians.
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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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.023 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".