Crisis Management: Addressing the Impact of Insufficient Resources and Supports on Middle School Students' Mental Health
Bibliographic record
Abstract
This Dissertation-in-Practice (DiP) addresses a problem of practice which is an urgent need for enhanced mental health supports at Alpine Prairie Middle School (APMS) within the Western Canadian School District (WCSD). Amidst resource and budgetary constraints, this study explores holistically informed strategies grounded in the principal's positionality and grounded by critical theory. This DiP focusses on transformative and distributed leadership approaches, considering the school as a complex adaptive system. A leadership framework integrates critical theory, transformative leadership, distributed leadership, and pragmatism to effectively lead the change process. The implementation plan includes a four-step change model: awakening, mobilization, acceleration, and institutionalization, tailored for APMS. This model aligns the organization with changes involving mental health literacy (MHL) and transformative social emotional learning (tSEL), managing the transition smoothly. Comprehensive communication and evaluation plans ensure successful integration of change strategies into the school's operations, supporting and improving students' mental health. Adopting a holistic approach, emphasizing equity, diversity, inclusion, and decolonization (EDID), this DiP describes a supportive and resilient environment where every student can thrive. This DiP also emphasizes the importance of a proactive stance on student mental health, the need for ongoing professional development for educators, and the value of involving the entire school community in mental health initiatives. By addressing these critical areas, the DiP seeks to create a more inclusive and supportive educational environment for all students at APMS. The findings may also inform future initiatives to improve mental health supports in middle schools.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".