Bibliographic record
Abstract
The focus of this research project is the settlement experiences of refugee youth who have exited their local Calgary high school. These newcomer youth have encountered profound academic and social stresses as they attempt to create a new identity and sense of belonging in their new home. By engaging the notion of place as a framework, I seek to better understand what it means for refugee youth to recuperate a place of belonging. Gruenewald (2003) suggests that understanding our relationship to place can be profoundly pedagogical. By having a place-based awareness, we strengthen our connections to others and to the places in which we live (Gruenewald, 2008). I engaged photovoice as a methodology, to provide the youth with an opportunity to reflect on their own personal circumstances as well as give them an opportunity to create a digital product that opened a space for their voices to be heard. The primary research question for this study is: How do refugee youth perceive their educational and settlement process in Calgary? In addition, the following sub-question is addressed: How have the youth gained a sense of place and belonging in their community? A secondary aim of the study is to investigate a pedagogical perspective through two further questions: How can refugee youth be given a sense of agency and voice to interpret and incorporate their learning such that they can actively participate and guide their settlement? How can the voices of refugee youth be represented and shared in the broader society? This presentation includes some of the refugee youth participants and the digital PowerPoint audio product that they produced during the project.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.011 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".