2002/03 childcare and early years workforce survey : nursery schools
Bibliographic record
Abstract
PLACES AND CHILDREN 6.The total number of early years places in nursery schools was 26,900 and 35,850 children were enrolled 1 . 7.The average number of early years places was 58 but the average number of children enrolled was 77.8. Average capacity per setting was higher in the South/East (62) than in the North/Midlands (55). Executive Summary 31 It should be noted that some places are part-time places -i.e one place could be used by more than one child.For example one place could be used by one child in the morning and by another child in the afternoon.Childcare and Early Years Workforce Survey 2002/03: Nursery Schools 5 2 This is calculated by dividing the total number recruited by the total number currently employed -plus those leaving their current employment minus those recruited.It should be noted therefore that this recruitment rate takes account of the 'churn within the sector' as well as the number of staff being recruited to the sector.3 This is calculated by dividing the total number leaving their employment by the total currently employed less the difference between those recruited and those leaving their current employment.It should be noted that this turnover rate therefore includes 'churn within the sector' as well as staff leaving the sector.4 This is calculated by dividing the net change in staff by the total currently employed less the difference between those recruited and those leaving their current employment.It should be noted that this employment growth rate therefore includes 'churn within the sector' as well as staff joining or leaving the sector.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".