Bibliographic record
Abstract
Both Canada and Israel have attracted and hosted diverse populations of immigrants, among which are Vietnamese refugees. The Vietnamese ethnic group has been the object of many demographic, ethnographic and socioeconomic studies in the United States, Canada, and Europe. In Israel, the relative lack of attention given to this group may have contributed to its weakening. The Vietnamese Israelis are not organized in any formal immigrant‘s association, which makes it hard for a researcher to reach them. The analysis presented here is the socio-demographic chapter of a broader sociolinguistic research project (in progress) on bilingual contact phenomena in the Vietnamese Israeli community, and Vietnamese-Hebrew code-switching/mixing. A study of sociolinguistic variation cannot be done without a thorough investigation of the speakers and their social context. This study aims at drawing a comprehensive profile of the Vietnamese Israeli community, and it is based on fieldwork carried out between November 2007 and May 2008. The community is formed mainly by Vietnamese refugees who were granted political asylum in Israel between 1977 and 1979. The methods used to gather data included: participant observation (Lynd and Lynd, 1929), ethnographic interviewing (Hammersley and Atkinson, 1993), with non-directive and directive questions asked at community gatherings, and one-to-one sociolinguistic interviews, adapting Labov‘s modules (Labov, 1984). The findings confirm the existence of a Vietnamese community in Israel whose structure is based on interaction networks involving about thirty families, largely concentrated in the localities of Jaffa and Bat Yam. Comprising about 150 people, it is probably one of the tiniest minority group in Israel, and that is one of the reasons why it should be accounted for. The present study investigates the community‘s divisions, its interactional patterns, and its loyalty factors (language, socioeconomic status, faith). Jerusalem Conference in Canadian Studies 44 Partly due to its size, the Vietnamese Israeli group may be considered as marginal. Moreover, its members‘ shared cultural and linguistic characteristics do not relate to the Israeli sociocultural system based on the existence of separate Jewish and Arab societies. Finally, in a census that only displays three distinct population groups, Jews, Arabs, and ―Others,‖ their presence goes unnoticed. As a consequence, they tend to suffer from relative estrangement and try to establish themselves in other countries, which could lead to the disintegration of the community. This paper emphasizes the need for awakening the community‘s sense of pride and belonging, as well as for enhancing its members‘ perception of self-worth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".