The Experience of Students Achieving High School Success While Attending a Vancouver Alternate Secondary School
Bibliographic record
Abstract
AbstractThis study investigated the experiences of students who attended a Vancouver Alternate Secondary School (VASS) program and achieved a regular high school diploma, which is known as a Dogwood Diploma, in the province of British Columbia, Canada. Through interpretive and semi-structured interviews, the recent graduates shared their experiences and how they achieved graduation. The research study looks at their experiences from an asset-based framework instead of focusing on their individual deficits.The research revealed the structures and qualities of the VASS programs that supported the participants. The 11 participants mentioned the flexibility of instruction in the VASS programs, the smaller sites and smaller classes, the personalization of instruction, the healthy relationships established with the VASS staff, the staff’s persistence in reaching out to connect with them, and the participants’ ability to focus on their future endeavours. The participants saw these VASS programs as a viable option for students entering high school.The participants mentioned the importance of belonging and connecting with both the VASS staff and students. Even when they were unable to attend school due to complex reasons such as mental health concerns, the staff still reached out to check in with them and encouraged them to return. These participants see their time at VASS as instrumental in helping them graduate.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".