Ethical tensions in occupational therapy practice: Conflicts and competing allegiances
Bibliographic record
Abstract
BACKGROUND.: Ethical tensions inevitably arise in practice in light of diverse agendas embedded in practice contexts. Such tensions can contribute to moral distress and lead to professional burnout and attrition. Despite potentially serious implications, little work has been done to examine how various allegiances in occupational therapy practice can set up ethical tensions. PURPOSE.: In this article, we present findings of an exploratory study examining conflicting allegiances in occupational therapy. METHOD.: Using collective case study methodology, we examined ethical tensions reported by seven occupational therapists practicing in different settings in Southwestern Ontario. FINDINGS.: Ethical tensions were seen to arise in ways that highlighted competing allegiances to participants' own values, clients, others in the context, colleagues, employers, and regulatory colleges. IMPLICATIONS.: The findings open a discussion informing how practice settings can better facilitate practice directed at responding to client needs while also meeting the various demands imposed on occupational therapists.
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How this classification was reachedexpand
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".