The real cost of teaching in a refugee camp: Asking the difficult questions
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
Abstract This article asks difficult questions about higher-education courses provided by Western institutions to people living in refugee camps. It critically examines a blended-learning approach that incorporates a massive online open course (MOOC) into a scaffolded higher-education program—the University of Geneva’s Connected Blended Learning model—in the Kakuma refugee camp. It assesses the effectiveness of this approach in an accredited University of Geneva human-rights law course, which ran in the Kakuma camp from 2017 to 2020. On the basis of the long experience of the course leaders and research carried out with students who participated in the course, the article explores ways of improving this model by answering difficult questions about the real cost of teaching in a refugee camp. This paper was co-written by a professor, a researcher, and students who were involved in the course, two of whom are refugees living in Kakuma refugee camp.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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