Bibliographic record
Abstract
This volume brings together diverse theoretical reflections and practices of community engaged scholarship in order to stimulate critical discussion, deepen theory, and invite critical practice. It is an international trend that higher education institutions and agencies are encouraging and promoting community engagement. At the same time, there is recognition of a lack of consistent definitions and understandings of what it is they are promoting. As a counterweight to the dominance of pragmatic and technical discussions in the literature on engaged scholarship, the chapters in this book shift the discourse to ask foundational questions that emphasize the political nature of engagement. Recognizing that acts of engagement are never neutral, the authors in this book explore how engaged scholarship requires decision-making that is inherently grounded in values, beliefs, and interpretations of what is and what ought to be. Alongside complex global and local social movements rising to address issues, for example climate change or the global financial collapse and the uneven consequences of these globalized problems, we see corresponding concerns expressed about the limited participation by excluded, silenced, and invisibilized people throughout the world. How can engaged scholarship be mobilized and who will it serve within such contexts? With contributions covering such diverse topics as a non-binary approach to engagement; citizenship of knowledge; university contexts and corporatization; stranger pedagogies and anti-foundational approaches to service learning; contemporary revolutionary movements in the Arab world; and transforming higher education through Africanist onto-epistemologies, this volume is poised to open the door to a deeper understanding 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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.050 | 0.020 |
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".