Between virtue and profession: Theorising the rise of professionalised public participation practitioners
Bibliographic record
Abstract
Participatory planning practice is changing in response to the rise of specially trained public participation practitioners who intersect with but are also distinct from planners. These practitioners are increasingly being professionalised through new standards of competence defined by their industry bodies. The implications of this are not well accounted for in empirical studies of participatory planning, nor in the theoretical literature that seeks to understand both the potential and problems of more deliberative approaches to urban decision-making. In this paper, we revisit the sociological literature on the professions and use it to critically interrogate an observed tension between the 'virtues' of public participation (justice, equity and democracy) and efforts to consolidate public participation practice into a distinct profession that interacts with but also sits outside of professional planning.
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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 | 0.022 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.110 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".