Social enterprise in the UK: Models and trajectories
Bibliographic record
Abstract
There is a growing interest in the social-enterprise (SE) arena in the United Kingdom but this term encompasses a highly diverse community of organisations. In the Anglo-Saxon context, these organisations have developed in different policy or business fields, with distinctive legal or governance models. They may also originate from very different historical periods. For example, some may be recent organisations set up with a specific SE focus and, in certain cases, with a strong business orientation – alternatively, there are organisations with deep roots in charitable or cooperative entities founded in previous centuries, and these origins continue to influence their aspirations and organisational models. Overall, the wide degree of variety and hybridity within the field has created difficulties in defining or counting UK social enterprises. In the last 20 years, policy makers have moved from a position of relative neglect of social enterprises towards taking a strong interest in their development. Hence, there have been new or amended legal identities, encouragement for these organisations to acquire physical assets or engage in the delivery of public sector services, and an endorsement at policy and practice level of the importance of these entrepreneurial organisations. It is also worth mentioning that social enterprises are more common in certain arenas of the economy (particularly in the field of human services) and less common in others (such as high-tech manufacturing), although there are exceptions. It is also important to indicate the nature of devolved powers to the constituent countries within the UK over the last 20 years. This has led to some divergent policies towards social enterprises being pursued in Northern Ireland, Scotland and Wales. For simplicity, the discussion here mainly refers to the English situation, unless stated otherwise.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".