Bibliographic record
Abstract
Large gaps in contextual information exist for designers developing medical devices for low resource settings which can lead to failures in both medical device design and adoption. Over half of the world’s population live under ten dollars a day and therefore can be considered as living in a low resource setting with less infrastructure, fewer trained-personnel, and less access to spare parts than developed countries. This study explores how contextual information when needed by designers in low resource setting can be provided by diasporans involved in healthcare development activities for their countries of origin. Using reflexive ethnographic and social network theories, and qualitative and quantitative enquiry, I explored the information seeking behaviour of diasporans involved in healthcare development activities for their countries of origin. A framework of information seeking behaviour and sources for accessing information that is timely, credible, and immersed in low resource settings, emerged from the research. Through this framework, designers can engage effectively with diasporans involved in healthcare development activities for their countries of origin. The framework enables designers to reflect on the information they are receiving from diasporans before utilizing it to better understand the contextual information required for successful medical device design for low resource settings.
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 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".