Implementing a required curriculum reform: teachers at the core, teaching assistants on the periphery?
Bibliographic record
Abstract
This paper considers the part played by teaching assistants in the implementation of the National Literacy and National Numeracy Strategies, two widespread UK government reforms. Evidence from two sources of evaluation (the Ontario Institute in Canada and OfSTED, the school inspectorate for England) indicates that assistants are providing 'remedial' support for up to 25% of children in English primary schools. However, although the evaluators note this, they fail to truly acknowledge the important contribution of assistants to the functioning of the Strategies. The paper argues that the lack of acknowledgement arises from the evaluators' view of teaching assistants as 'peripheral' and teachers as 'core'. This does assistants a great disservice, but also masks the shortcomings of the Strategies, particularly with regard to the way in which a required pedagogy, linked to targets and tests, has created an exclusionary pressure leading to the separation of teaching by teachers and assistants, respectively.
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".