Expectations and Realities of Engaged Scholarship: Evaluating a Social Economy Collaborative Research Partnership
Bibliographic record
Abstract
This paper examines and evaluates the dynamics of engaged scholarship within a complex community-university research partnership. The British Columbia–Alberta Social Economy Research Alliance (BALTA) brings together academics and practitioners with the goal of advancing understanding of the social economy and contributing to the development of a social economy research network in western Canada. Engagement in BALTA refers to both internal (academic and practitioner research partnerships) and external (research process) project components. Our findings indicate that the structure of the project, dictated in large part by funder requirements and the professional cultures of research participants, greatly influenced the nature and quality of engagement. This paper examines the BALTA initiative and the reflexive and adaptive process it has undergone as it responds to various challenges and seeks to realize the ideals and potential of engaged scholarship.
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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 | 0.145 | 0.278 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.033 | 0.015 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".