Power, position and social relations: Is the espoused absence of hierarchy in Open Dialogue naïve?
Bibliographic record
Abstract
Open Dialogue practitioners aim to reduce social hierarchies by not privileging any one voice in social network conversations, and thus creating space for a polyphony of voices. This sits in contrast to the traditional privileging of those voices credited with more knowledge or power because of social position or professional expertise. Using qualitative interviews, the aim of this current study was to explore Open Dialogue practitioners' descriptions of challenges in implementing Open Dialogue at a women's health clinic in Australia. Findings revealed how attempts to rhetorically flatten hierarchies among practitioners created challenges and a lack of clarity regarding roles and responsibilities. As the practitioners tried to adjust to new ways of working, they reverted to taking up engrained positions and power aligned with more conventional social and professional roles for leading therapy and decision-making. The findings raise questions about equity-oriented ways of working, such as Open Dialogue, where intentions of creating a flattened hierarchy may allow power structures and their effects to be minimised or ignored, rather than actively acknowledged and addressed. Further research is needed to consider the implications that shifting power relations might have on the roles and responsibilities of practitioners in the move to equity-oriented services.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".