Student access to the information landscape: A national education evaluation conducted by the New Zealand Education Review Office during 2004/5
Bibliographic record
Abstract
The Education Review Office (ERO) undertakes reviews of schools and early childhood centres throughout New Zealand. ERO also undertakes national evaluations. The purpose of each review/evaluation is to help bring about improved educational achievement for young New Zealanders and to provide information to schools, parents, communities and the government to assist decision making. During 2004/5, ERO conducted a national evaluation of student access to the information landscape in schools. The quality of policies, programmes and practices associated with the school library was one focus in this evaluation. The quality of teaching practice (particularly in the areas of student information literacy and in developing positive attitudes towards reading) was also evaluated. This paper gives an outline of the role of ERO, the rationale and purpose of the national evaluation, and the methodology used. It provides some initial discussion of preliminary findings. It also reports on anecdotal feedback received on the process of the evaluation and its impact on participating schools.
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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 | 0.220 | 0.150 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".