Turbulence, Perturbance, and Educational Change
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
While scholarship on educational change has long accepted that disruptions to the status quo are an essential part of the change process, disruption has never been more central to planned change than it is in the current political context in the USA, where legislation has mandated school closure, reconstitution, and turnaround as required remedies for schools failing to produce annual student achievement gains required by government. We are also unfortunately hampered by the imprecise language that surrounds complexity- based theories of educational change. Words such as perturbance, turbulence, and disruption all have gained currency lately, but meanings are unclear and overlapping. This essay seeks to lend some clarity to the debate by defining turbulence as the perception of forces in an organizational environment with the potential to disrupt current modes of operation. This is distinguished from perturbance which is defined as the social process of actors coming together to adjust organizational practice to fit with the changing environmental context. The case is argued that sensible reformers ought to be fostering perturbance while minimizing the harmful consequences of excessive turbulence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it