Bibliographic record
Abstract
This groundbreaking report released by the JPR European Demography Unit finds that 630,000 ex-pat Israelis live across the world, most of whom choose English-speaking and European countries as their new home. The report notes that an estimated 325,000 children have been born to these Israelis when living abroad, bringing the total number of Israeli migrants and their children to close to a million. The report also finds that in certain destination countries, the proportion of ex-pat Israelis and their families now exceeds 20% of the national Jewish population. Some of the key findings in this report: About 630,000 Israelis lived outside Israel in 2021-2023. Of these, 328,000 were born in Israel, and another 302,000 were born elsewhere but acquired Israeli citizenship and lived in Israel during their lives. Estimating the number of children born to Israelis living abroad, the report concludes there are 955,000 ‘Israel-connected’ people worldwide. The ‘Israel-connected’ Jewish population currently constitutes 9% of the population of the Jewish Diaspora. The largest Israel-born Jewish communities are in English-speaking countries (US, Canada, and UK) and European countries (with those in Germany and the UK making up nearly 50% of Israelis living in Europe). Europe hosts about one-third of Israeli ex-pats but only 16% of all Jews living in the Diaspora. Israel-born Jews make up nearly half of the Jewish population in Norway, 41% in Finland, and over 20% of the Jewish communities in Bulgaria, Ireland, Spain and Denmark. Over the past decade, Israeli-born populations have grown significantly in the Baltic countries (up 135%), Ireland (+95%), Bulgaria (+78%), Czechia (+74%), Spain (+39%), The Netherlands (+36%), Germany (+34%) and the UK (+27%). Israeli ex-pat communities in Europe are among the fastest growing in the world.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".