What's in a Word? Unpacking the Communicative Implications of Knowledge Translation as a Term
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
Knowledge translation is one of many terms used to describe the process of moving academic research into practical application to achieve positive impacts. Attention to knowledge translation has grown significantly in the contemporary Canadian research landscape, supported by major federal research funders. This article explores the term in depth, highlighting the interdisciplinary links between the burgeoning area of knowledge translation and more established areas of communication studies and translation studies. Focusing on a Canadian health research setting, the concepts of "perfect communication" and "loss in translation" are examined in relation to knowledge translation. This analysis explores contradictions and tensions within current assumptions and rhetoric around knowledge translation, highlighting misalignments with traditional thinking about communication. These issues can affect how knowledge translation work is perceived and practiced. Critical attention to the tensions emerging from the term knowledge translation is important for the field to continue to develop.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| 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