Local Representations in Crisis: Governance, Citizenship Regimes, and UK TECs and Ontario Local Boards
Bibliographic record
Abstract
In this paper I critically examine new forms of state–civil-society arrangements via a case study of non business stakeholder representation in UK Training and Enterprise Councils and in Local Boards for Training and Adjustment in Ontario, Canada. Drawing on insights from both poststructural and regulationist approaches, I situate their development and crises in what Jenson and Phillips term ‘citizenship regimes’. Local representation of labour and equity groups could be effective and reflected struggles over both recognition and redistribution. However, representation often depended on resources drawn from other scales and especially on the relationship of stakeholders with the provincial and national state. Local representation has some autonomy from macroshift in citizenship regimes, but in both cases there is strong evidence that the state is able to incorporate stakeholder representation into what Jessop terms ‘metagovernance strategies’, although it cannot necessarily control it.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".