Professional Identity of Evaluators in Israel
Bibliographic record
Abstract
Abstract: Professional identity is a precondition for the establishment of a profession. This examines the professional identity of program evaluators in Israel. The field of evaluation in Israel has developed differently than in most Western countries—from the ground and with minimal governmental interference—and thus it is an interesting case study. In spite of the diversity of the backgrounds of evaluators, there is strong agreement among them on the core of evaluation as an interdisciplinary profession whose aim is mainly as an advisory tool that serves for learning. They also strongly agree that the borders and essence of evaluation are not clear to evaluators, evaluees, and the public. While half of the respondents practicing evaluation do not identify themselves as evaluators, a professional community is important to them. Evaluators in Israel are not well connected to professional activities and developments outside of the country. They do not participate in international conferences and do not publish in scientific journals, yet they are very active in professional activities in Israel. The context of Israeli society is analyzed for a better understanding of these findings.
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How this classification was reachedexpand
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 | 0.022 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".