Exploring self-reflection in dual relationship decision-making
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
Summary Social workers practicing in small rural towns regularly encounter overlapping or dual relationships with clients. This can lead to boundary crossing and conflicts of interest that require an ethical decision. Previous research on how rural social workers approach ethical decision-making in these situations has suggested that while they might draw on ethical codes, many rely on intuitive or personal viewpoints rather than systematic decision-making processes. Although social workers are often trained to engage in self-reflection when faced with the complexities of practice and the possibilities of personal biases, the role of systematic self-reflection in personal decision-making about dual relationships has not been sufficiently documented in the literature. Using qualitative inquiry, this study explored the lived experiences with dual relationships reported by 44 practitioners working in small towns in rural Canada. Findings The findings confirm that practitioners were frequently guided in their decisions by an intuitive or emotional understanding of dual relationships rather than by external codes, and while self-reflection was seen to play a role, a formal or systematic approach to personal self-reflection was not reported. Applications The findings suggest that educational or professional development on more intentional use of self-reflection in practice would aid in safeguarding the client and the worker when dealing with dual relationships, while providing an ethical process congruent with a rural and remote community identity. Explicit decision-making would also make the process more defensible and justifiable, not only to themselves, but also to colleagues, supervisors, and to their professional association.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it