Understanding and Supporting the School Transitions of Military-Connected Adolescents in Canada
Bibliographic record
Abstract
Background: For adolescents, participation in school has been shown to have important and positive influences on their health and well-being. However, participation in school can be impacted by a variety of factors, such as living in a military family. American research has indicated that ongoing stressors associated with living in a military family, such as frequent relocations and associated school transitions, put military-connected adolescents at an increased risk of experiencing vulnerabilities, especially if they have special education needs. To date, there have been limited research efforts to understand the school transition experiences of adolescents from Canadian military families. Purpose: The purpose of this dissertation was to (1) provide an in-depth, multi-perspective understanding of the school transition experiences of adolescents from Canadian military families and (2) identify key areas of consideration to inform future policy and programming development to support the school transition experiences of adolescents from Canadian military families. Methods: A qualitative-dominant multiphase mixed methods design was used. In Phase One, an interpretative phenomenological analysis (IPA) study was conducted. Demographic surveys and individual-semi-structured interviews were used to collect data from adolescents, parents, and educators. In Phase Two, a mixed methods study was conducted. A questionnaire and a focus group were used to collect data from staff members of Military Family Resource Centres (MFRCs). Findings: In comparison to younger children, the findings of this dissertation suggest that frequent relocations and constant school transitions can have greater social and academic implications for military-connected adolescents, especially if they have special education needs. The findings of this dissertation also shed light on key areas of consideration to inform future policy and programming development to support the school transition experiences of adolescents from Canadian military families. Conclusion: Currently, there is emphasis being placed within Canadian defence policy to support military families and reduce the implications of their high mobility. Moving forward, more research is needed within Canada to better understand the school transition experiences of military-connected students, particularly those with special education needs, to ensure future efforts across policy and programming are evidenced informed.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".