Standpoint Theory in Professional Development: Examining Former Refugee Education 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
On September 2, 2015, a toddler was photographed on an unnamed Turkish beach in a position reminiscent of a baby sleeping in his crib. Alan Kurdi would instantly become the poster child for an entire nation that had no other alternative but to run and risk their lives on inflatable dinghies. On the open expanse of the Mediterranean Sea, the rate of survival was much higher than staying in Syria. On December 11, 2015, the newly elected Canadian Liberal majority government opened up Canada’s borders to Syrian refugees, and the Canadian education system is now grappling with how to adequately address the needs of their former refugee students. This article examines how deficit discourse affects academic excellence of all English as an Additional Language (EAL) learners, including former refugee students, and how professional development offers a cost-effective solution to the effects of deficit discourse on former refugee students, while equipping teachers with reliable skills and tools to use in diverse classrooms. In addition, this article investigates how standpoint theory can be used as the foundation for professional development programming for teachers of all students, including those who were refugees. Keywords: education; deficit discourse; standpoint theory; refugee
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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