Communication and Collaboration between School and Family for Addressing Bullying
Bibliographic record
Abstract
School and family are the main socializing agents for children. Therefore, effective communication and collaboration between these contexts is essential, although sometimes there are barriers to school-family partnership, particularly when they try to play a more active role in the educational process. It is widely recognized that parent involvement in school has successful contributions to student school outcomes. Moreover, It is crucial for addressing effectively bullying, as it is a problem student behaviour in Greek society as well.In this context, the present research aims to explore teachers' views about family-school communication and collaboration regarding the extent to which they address effectively bullying. 150 primary education teachers from public schools in Rhodes participated in this research, which conducted in 2015. Results show that teachers endorse the importance of school-family collaboration for addressing bullying. In addition, they consider this collaboration important, as it has an important influence on children's attitudes to school, and their behaviour in school environment. Furthermore, they suggest that school-family collaboration may improve students' social skills, which can enhance their emotional development and reduce their social isolation from the peer group. Finally, they assert that school-family collaboration can empower children's relationship with their parents and teachers, and in the long term it can contribute in enhancing their school achievement.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".