Sense of belonging and immigrant parents : strengthening the family-school partnership
Bibliographic record
Abstract
Immigrant students and families are increasingly becoming important members of our education system. In 2014, Canada welcomed more than 200,000 newcomers (Citizenship & Immigration Canada, 2015). The experience and success of immigrant students has been linked to many school and home factors (Alexander, Entwisle, & Thompson, 1987; Fuligini, 1997). Culturally based explanations of success argue that immigrant students’ success and experiences in school can be fully explained by their race or socioeconomic status (Trueba, 1988). The effectiveness of their home (family) and school environments should also be considered (Trueba, 1988). Research has also demonstrated that immigrant families contribute to their child’s education in different ways (Fuligni, 1997; Lopez, 2001). Therefore, family-school partnership is very integral to immigrant students’ success. While schools have focused on different ways of integrating students and families in schools, some scholars argue that studying how immigrant individuals experience sense of belonging is a more appropriate direction (Hurtado & Carter, 1997). However, research is unclear on how immigrant families, who are new members of the community, can become part of the school community (Puig, Erwin, Evenson, & Beresford, 2015). Employing an Interpretative Phenomenological Analysis, this study used semi-structured interviews to explore immigrant families’ perceptions and experiences of sense of belonging in their child’s school, and teachers’ perceptions of sense of belonging for school community members and experiences of enhancing sense of belonging for immigrant families. The findings suggest that families perceive sense of belonging as being informed, having a support system, and feeling emotionally safe. They experienced sense of belonging in their children’s schools when they felt included, and had effective communication. Teachers perceived that sense of belonging for school community members means having a welcoming environment. Teachers also discussed communication and relationship building as some of the strategies they use in enhancing sense of belonging for immigrant parents. Relevance of these findings with their implications in a broader sociocultural understanding is discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".