Wraparound in Practice: A Program Description of a School-Based Wraparound Model of Support for Children and Their Families in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Over the past few decades, wraparound models of support have received significant attention as an effective and efficient way to provide social support to individuals with diverse needs. This article presents a program description of the All in for Youth (AIFY) initiative, which is a collaborative school–community model of wraparound support implemented in eight schools in Edmonton, Canada. The AIFY model is led by a partnership between community organizations, school districts, and funders. This article describes how the school-based wraparound model is implemented in the Canadian school context, including its core components and processes. The authors also discuss the key facilitators and barriers to the successful implementation of the model, such as funding and resources, strong partner relationships and collaboration, and the ability to be adaptable. They emphasize the importance of interdisciplinary collaboration and highlight the need for ongoing investment and commitment to ensure the effectiveness and sustainability of wraparound models of support in schools. Overall, this article offers valuable insights into the practical implementation of a school-based wraparound model of support for children and their families in Canada.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it