The 20 hours (free) programme: important choices ahead for New Zealand’s new government
Bibliographic record
Abstract
The 20 Hours Free programme was implemented in July 2007 after having been one of three new education policies announced in the Labour Party’s 2005 election manifesto. The new programme was the brainchild of Education Minister Trevor Mallard and provided 20 hours of government-funded early childhood education (ECE) for all three and four year olds, regardless of family income. When the Free ECE programme began, participation was large enough to affect the Consumer Price Index: ‘Education prices fell 5.2 percent [for the September quarter], due to lower prices for early childhood education as a result of changes to government funding’ (Statistics New Zealand, 2007). The most recent data indicate that 86%of eligible services participate and 93% of eligible children participate (Ministry of Education, 2008). With its tremendous success, the 20 Hours Free ECE programme has become the biggest, most expensive early education programme in the country.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.038 | 0.004 |
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".