Programs and Politics: The Local Uses of International Tests
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This is the final article in a series prompted by Howard Russell's first paper, among Factors in Education. Curriculum Inquiry editors invited responses from Kenneth Travers, Senta Raizen, Patrick Griffin, and Stephen Heyneman. Russell reacted to these responses in a second article entitled Tranparency in Connections among Factors in Education. My commentary on these articles is based on a perspective that differs, at least in degree, from my fellow authors. Unlike them, I do not consider myself a test-and-measurement specialist and will not be concerned in this article with some of the issues that rightly consume much of their attention. My perspective, rather, is a function of interests in leadership, school improvement processes, and educational policy. More specifically, the central issue I address in the remainder of this article reflects the importance that Russell's second paper attaches to purposes, by way of explaining differences between the positions advocated by Griffin and himself. I argue that local school improvement is a key purpose to be served by international test results. This is an argument with which Russell strongly agrees, as do most of the other authors (at least implicitly), but that Heyneman rejects out of hand. I then review, offering my own observations, some of the debates in the articles that are germane to the use of international tests for local program development, Russell's primary focus. Finally, I recommend an additional set of local uses for international tests, uses that are largely political in nature, claiming that these uses are at least as significant to local school improvement and the quality of teaching and learning as is program development.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it