For the Parent, by the Parent: Creating a Program to Empower Parents of Refugee Background in Canada Using Novel Participatory Approaches
Bibliographic record
Abstract
BACKGROUND: Families of refugee background have complex, multigenerational mental health and developmental needs that are not accounted for in current programming frameworks in Canada. Providing appropriate support services and educational resources that address the unique concerns of families of refugee background will allow for improved family cohesion and developmental outcomes for children. Parenting programs have been shown to be successful in improving parental stress, parental efficacy, and children's mental health and well-being. This study gathers data about the experiences of caregivers of refugee background in order to develop a novel, multi-dimensional parenting program model using Community-Based Participatory Research (CBPR) principles. METHODOLOGY: This was a qualitative, CBPR study using a formative research framework. In-depth interviews (IDIs) were conducted with caregivers of refugee background and service providers that work closely with this population. Data were recorded, transcribed, and coded using deductive and inductive coding methods by two independent coders. RESULTS: A total of 20 IDIs were conducted (7 caregivers and 13 service providers). The main topics that were identified to be incorporated into the program include: features of child development, how to address resettlement issues, child advocacy, and parenting after resettlement. Participants felt that tackling language barriers, addressing the overlapping responsibilities of caregivers attending the sessions, providing incentives, increasing awareness of the program, and using an anti-racist and anti-oppressive approach was key to the program's success. Participants emphasized the need for trauma-informed mental health supports within the program model. CONCLUSION: This study describes the key considerations for a novel parenting program for families of refugee background, by engaging them as key stakeholders in the program design process. Future iterations of this project would involve a pilot and evaluation of the program.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".