Education Towards Jewish Values in the Israeli State Preschool: Its Character, Essence, and Scope
Bibliographic record
Abstract
A Jewish–Israeli identity incorporates two identities—Jewish and Israeli, and various philosophers suggest different ways to view the combination or separation of these identities. Agasi and Samucha come from different approaches to suggest ways of integrating both identities. They speak about the existing division between the two identities, in light of the unique characteristics of the State of Israel. The ever-increasing essential need for providing a significant and systematic solution to the issue of value-based education and nurturing the Jewish-Israeli identity of the students of the State education system must be seen in light of the collapse of values in many postmodern Western societies. The existing education system perpetuates the division into sectors that divides Israeli society from within. At the same time, the emphasis in State preschools examined in this article, is on culture and nationalism, as connected to values of good behavior towards others. The findings show that Jewish education at an early age is influenced by the personality and inner world of the preschool teacher and her own connection to Jewish content, irrespective of the educational stream to which the preschool belongs.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".