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
While a growing body of literature in HCI is focusing on the initial needs of the refugees soon after their migration, most challenges associated with the long-term process of their integration with the host communities using technology have still remained understudied. This work builds on a 3 year-long fieldwork with the refugees in Canada, extended observations, and interviews with 26 participants (19 refugees, 4 refugee sponsors, and 3 refugee workers) to illustrate how refugees encounter various challenges in accessing necessary services in Canada through its computerized infrastructures. This paper documents the intricacies and nuances of this problem extended over their struggles in obtaining information, getting social support, learning new technologies, securing their digital activities, and the gender dynamics associated with these activities. Our analysis generates several design implications to address these issues. Moreover, we discuss the challenges' entanglement with some of the broader concerns in HCI regarding infrastructure, inclusion, and mobility.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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