Albertans for Health Research Network: Form, Fit, and Function
Bibliographic record
Abstract
The patient engagement (PE) platform staff of Alberta Strategy for Patient Oriented Research Support for People and Patient Oriented Research Trials Unit developed a patient-powered PE network called Albertans for Health Research Network (AB4HR); an enhanced tool to better connect patient partners and researchers online. AB4HR was developed in response to an identified need-a user-friendly online forum for both patient partners and researchers to access, so that they can better work together, as partners, in health research. We codesigned AB4HR and identified ways to improve the form, fit, and function of an existing registry through discussion groups with patient partners and researchers. We found 3 main themes derived from the perspective shared by patient partners and researchers. Patient partners and researchers agreed that the existing registry provides a forum to connect with one another in an easy, low-barrier way. However, there were opportunities for improvement with AB4HR, including possibilities for greater interaction between patient partners and researchers to promote more collaborative partnerships.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.082 | 0.125 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".