Power and Contingency in Planning
Bibliographic record
Abstract
In this paper we analyse the role and reception of poststructuralist perspectives on power in planning since the 1990s, and then ask whether a renewed encounter with the works of poststructuralist theorists Foucault, Deleuze, and Luhmann could add something to the points that were already made. We make a distinction between the power of planning (the impact in society), power in planning (relations between players active in planning), and power on planning (the influence of broader society on the planning system), to refine the analysis of planning/power. It is argued that an interpretation of Deleuze, Luhmann, and Foucault, as thinkers of power in a theoretical framework that is based on the idea of contingency, can help to refine the analysis of power in planning. Planning then can be regarded as a system in other systems, with roles, values, procedures, and materialities in constant transformation, with the results of each operation serving as input for the next one. The different power relations constitute the possibilities, the forms, and the potential impact of 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.040 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".