The Story of a Course, School, First Language and Home: A Qualitative Discourse Analysis of the Voices of Refugee Students and their Teacher
Bibliographic record
Abstract
This study, seeks to understand the pedagogical and ethical dilemmas of the instructor when teaching an online undergraduate education course on multiculturalism and multilingualism in educational contexts to refugee students living in UNHCR refugee camps in Kenya. It asks questions about first-language loss, longing for home, and schooling experiences as expressed in the writings of students in that education course. The theoretical framework of the dissertation is informed by an ethical, social justice pedagogical perspective, refugee studies, postcolonial studies related to linguistic imperialism, and theories of bilingualism, multilingualism, and second-language acquisition. The dissertation intends to create a space for pedagogical inquiry through autoethnographic reflection, reflexive teaching, and discourse analysis of student and teacher voices. The study hopes to contribute new knowledge related to questions about first-language maintenance and second-language acquisition in the schooling of children in refugee camps. \n
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.023 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| 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".