The case of the shapeshifting iron ingot: translating knowledge through product design
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
Purpose This paper aims to investigate how product design can support the translation of knowledge across cultural contexts. Design/methodology/approach This study adopted an instrumental case study design to explore how knowledge can be translated through product design. It focuses on the case of Lucky Iron Life, an organization that produces a cost-effective and sustainable iron supplementation product. This was accomplished by analyzing archival records dating from 2011to 2022. Findings This paper outlined the links between knowledge management and design literature. Knowledge translation and design were established as fluid and user-driven processes, emphasizing the role of culture. In illustrating the development and implementation of Lucky Iron Life products, this study demonstrated how design with high cultural resonance can support the translation of knowledge. Originality/value This paper offers a theoretical contribution by further establishing design as a means of knowledge translation. It focuses primarily on the design of physical artifacts, which is an under-investigated medium. These findings can support designers’ potential to translate knowledge and promote user engagement across cultural contexts.
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 | 0.001 | 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 | 0.000 |
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