Governance solutions for municipally owned companies: practical insights from England and Canada
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 provides insights into 'what works' in terms of successful governance arrangements for municipal operating companies (MOCs).Some studies, notwithstanding their value as scholarly endeavours, make assertions that lack a direct appreciation of practice.The author's experience as a co-opted member of local government audit committees and interviews with practitioners provide the basis for the article; elected members, local government officers and those responsible for the management of MOCs might have an interest in its findings and conclusions.In particular, the article offers insights for those with an interest in and responsibility for accounting in and for MOCs.Clarity of purpose, robust decision-making processes and the quality of relationships between politicians and managers were more important than a 'one size fits all' approach.Veneration of so-called 'traditional' accounting practices fails to reflect the subtlety and nuance needed to operate MOCs successfully.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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