Relationships Are Key to Overcoming Barriers Posed By Election Cycles: A Qualitative Description of Canadian Integrated Knowledge Translation Partners
Bibliographic record
Abstract
Community engagement is central to a research process called integrated knowledge translation (IKT), which is characterized by the co-creation of knowledge among various partners. Families First Edmonton used an IKT partnership model to address poverty issues over a 15-year period. The purpose of this study is to describe barriers to the sustainability of this IKT partnership and how these were overcome. We generated interview data with 23 IKT partners who worked with or within municipal and provincial governments; we used qualitative description to frame our data and conventional qualitative content analysis for data analysis. Partners described the ways in which election cycles threatened the sustainability of the IKT partnership and posed barriers to their work. Three barriers were identified by partners: 1) narrowed windows of opportunity, 2) muddled directions and priorities, and 3) changed project partners. According to partners who collaborated across academic, government, and community settings, relationships offset these barriers through various mechanisms, including long-term relationship building, ongoing contact, and a recognition that while success may be subtle, resulting ripple effects can have important impacts over time. Relationships represent an important investment for partners who continue to work in narrow time frames imposed by election cycles. Partners indicated that relationships are a key strategy to ensuring sustainability of the IKT partnership and can have a farther-reaching impact than policy change.
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 | 0.015 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 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".