School Governing Bodies in England Under Pressure: The Effects of Socio-economic Context and School Performance
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
This article reports research into the nature and functioning of school governing bodies in different socio-economic and performance contexts. The research analysed 5000 responses from a national questionnaire-based survey and undertook 30 case studies of school governing. The research confirmed that school governing in England is a complex and onerous responsibility that places governing bodies under considerable pressure. The socio-economic and performance contexts can be particularly demanding additional pressures. Governing bodies interact with those contexts in a complex way which we explain using the notions of governance capital and governance agency. Governance capital is the network of individuals and their capabilities, relationships and motivations that are available for the governing of a school. It is likely to be greater for schools that: are well regarded; are in high socio-economic status settings; and have high levels of pupil attainment. These effects may add and mutually reinforce creating an ‘amplifier effect’, which may significantly impact on the governing of a school. Governance agency is the capacity of those involved in the governing of a school to act. It is significant; can ameliorate the effects of low governance capital; and complicates the relationship between governing, performance and socio-economic context.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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