Politicised compassion and pedagogical partnership: A discourse and practice for social justice in the inclusive academy
Bibliographic record
Abstract
Despite changes prompted by global legalisation and policy developments for social justice and inclusion, many institutions of higher education remain driven by neoliberal values, an endemic culture of performativity, and an emphasis on individual success. These phenomena inform, disfigure, and invert inclusion and equality in policy, practice, and outcome. In response, we propose politicised compassion fostered through pedagogical partnership as a political and social justice reaction to the status quo. This paper explores this proposal, grounding it in international research studies on student experience, partnership, and equality. The work’s novelty is in its advancement of Zembylas’ (2013) work on “critical compassion” through what we term politicised compassion with the goal of enabling sustained student agency, student success, and the creation of active, considerate citizens. Our work invites critical considerations of where such a discourse for meaningful social justice and equality can take place within the academy.
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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 | 0.030 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.034 | 0.156 |
| Scholarly communication | 0.035 | 0.023 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.014 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 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".