Transforming Communities through Academic Activism: An Emancipatory, Praxis-led Approach
Bibliographic record
Abstract
This article tracks the engagement of university faculty in academic and community activism during thirty years in conflict-affected Northern Ireland. Over time, the team of three academics who wrote the article developed programs to help tackle educational disadvantage in a deeply divided society riven with violent conflict. Our pedagogical approach was driven by social justice principles in practice. In the process, students became what Ledwith & Springett (2010) describe as participative activists in the academy and in their own communities. The aim of this collective activism was to foster transformative change in a society that is now in transition from conflict. Key examples of critical practice are described. We use a case study approach to describe challenges faced by faculty and participants. We argue that academic activism and community partnership can play a positive role in community transformation in the most difficult circumstances.
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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 | 0.017 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.018 | 0.036 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.004 | 0.025 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".