Democratizing knowledge: the experience of university-community research partnerships
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
Globalization has been characterized by the development and rapid circulation of knowledge, emphasized with the use of new technologies. Knowledge is gaining an increasing space at the core of societies and the knowledge economy. This current reality encourages us to consider development practices and knowledge circulation under the perspective of democratization. The author of this essay discusses the several partnerships that have been established among UQAM and communities: these innovations are inspired by a vision of the democratization of education focusing on access to, research and circulation of knowledge. The case study focuses on the research process that is developed together with the communities involved, the challenges linked to the collaboration among two different organizations as well as the obstacles, the opportunities and the conditions that have contributed to the success of these initiatives. While developing this approach requires the availability of several partners, it has the advantage of broadening and democratizing the group of those producing and circulating academic knowledge. This institutional research model that has been developed in Quebec is arousing a lot of interest in the North and in the South as an alternative approach to promote the democratization of knowledge.
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 | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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