Grade Level Placement for Refugee Students: Determining Appropriate Placement
Bibliographic record
Abstract
As a university student and teacher in Toronto I studied, lived, worked with and taught refugees from almost all over the world.In the mid-1990s I had a pivotal conversation with a colleague who confided, "I lost my surname and aged five years," when he entered Canada as a university student in the late 1960s from South Asia.Upon returning to my hometown I have worked as a Literacy Enrichment and Academic Readiness for Newcomers (LEARN) teacher in St. John's.Since then, I have realized that, like the case of my colleague, errors may exist on refugees' documentation for various reasons.In this discussion, I will explore the context, challenges, and felt experiences of grade level placements for refugee children through integrating my personal experience as a teacher, experiences of diverse newcomers to St. John's, and international literature. Students from Refugee Background in My SchoolThe LEARN program exists to address the academic deficits of recently arrived refugee youth in Newfoundland and Labrador, by closing educational gaps and successfully transitioning students to the prescribed curriculum (Department of Education and Early Childhood Development, n.d.).LEARN was modelled on Toronto's Literacy Enrichment Academic Program (LEAP) (Toronto District School Board, n.d.) and was piloted in 2008, with the current program beginning in January 2009 at two St. John's schools.Over the years, I have had students about whom staff members inevitably ask, "How old is that kid?" followed by, "They look like they belong in elementary/high school."Given the considerable range of student sizes at junior high, physical stature is not always a problem -even if it is noteworthy -but having students who are socially and emotionally mismatched with their peers may cause social discord, isolation, alienation, and disruption in the classroom.For example, a Grade 7 student who said he was really two years younger, reacted accordingly whenever there was discussion of teenage relationships and romance, and became disruptive when exposed to the intermediate sexual health curriculum.When we attended an Association for New Canadians (ANC) Health Fair for Youth, which included a presentation on how to use a condom, his behaviour at the event geared for junior high and high school students presented as awkward and uncomfortable for everyone involved. Reasons for a Shared BirthdayInitially, I was puzzled that a disproportionate number of students were born on January 1st until Greg Simmons, the other original LEARN teacher who had previous experience working with the ANC, clarified that this indicates a date of birth (DOB) assigned by the United Nations High Commissioner for Refugees (UNHCR), the UN Refugee Agency.UNHCR Guidelines in
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 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".