What are Children's Centres? The Development of CC Services, 2004-2008
Bibliographic record
Abstract
Children's centres are intended to be a mainstream, universal service. They began in 2004 and their origins are diverse. Some replaced various forms of local provision, most notably Sure Start programmes; others were established from scratch. Issues for exploratory empirical work have been identified from the guidance issued by central government. Using interview data from three urban local authorities, this article explores the nature of the 'core offer' that centres are expected to provide and the way in which they have pursued the goal of integrating staff and services. The article highlights the problems of balancing a focus on the child and on the parent; of reconciling childcare provision as part of the employability agenda and as a means to educational achievement for the child; of permitting local variation while achieving consistency; of the role of monitoring in relation to developing good practice; and of achieving integration in a mixed economy of care. We find that despite the greater specification of the core offer for children's centres compared to that for Sure Start, there are substantial differences between children's centres in terms of services, while the mixed economy of provision poses considerable challenges to the goal of integration.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".