Public policy and social science training in Israel: The impact of structural change on the constitution of knowledge
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
Abstract Recent reforms instituted In the network of higher education in Israel have focused on two elements: adjusting the managerial structure of the universities to make it more amenable to market criteria of efficiency and reducing the proportional weight of state funding to the universities compared to that allotted to the technical and professional colleges. The main elements of this process—increasing power of managers in academic institutions, shifting universities toward entrepreneurialism, the idea of the “service university,” and the “massification” of the system of higher education—are characteristic of similar changes in higher education in the U.K., the U.S.A., Canada, and Australia. This article examines the impact of organizational and structural changes on the categories of knowledge produced, and by extension on the production of knowledge itself. By examining changes in the organization of higher education in Israel and in particular in the social sciences, the article suggests that institutional and academic diversification have influenced the categorization of legitimate knowledge pertaining to society, the economy, and the political arena—the traditional terrain of the social sciences—and hence what is considered “knowledge worth knowing” about these subjects. Finally, the article points to certain political interests that have motivated this change, and examines their larger impact upon Israeli society.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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