Israel Engagement in Practice: An Empirical Look at the Impact of <i>The Year of Service</i> Emissaries
Bibliographic record
Abstract
The current field of Israel engagement has been significantly challenged by young North American Jews’ reported alienation from contemporary Israel. Literature in the last decade has addressed this challenge in depth, offering a wide variety of theoretical analyses and recommendations for program development. The present study is the first to thoroughly focus on one of these programs, the young emissaries (shinshinim) program, a joint initiative between the Jewish Agency for Israel and a growing number of Jewish communities around the world. Data were collected in the Greater Toronto Area, out of which the local Jewish Federation operates the largest shinshinim program worldwide. Levels of emotional, behavioral, and cognitive engagement with Israel were assessed in 47 local institutions’ representatives, 84 host families, and 197 high school students in relation to their interaction with shinshinim. Changes in attitudes toward Israel, Jewish tradition, and peoplehood, following their Year of Service, were also assessed in 36 shinshinim. All data were collected using questionnaires developed especially for the purposes of this study. Results show that the shinshinim program has a significant and positive impact on host families’ level of Israel engagement and that the Year of Service has a significant and positive impact on the shinshinim inclination to adopt Jewish traditions and to affiliate themselves with a Jewish Peoplehood. Results also show that the program is positively associated with Israel engagement among students and Jewish institutions’ representatives. Theoretical and practical implications are discussed.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".