European University Legacies : Problematic Heritage and Contemporary Practice
Bibliographic record
Abstract
This book challenges straightforward narratives of universities as sites of intellectual progress and societal development, bringing into the debate the remembrances of colonial pasts, material legacies, racialized inequalities and problematic histories. It offers a decentered deep-dive into, and comparative perspective on, the different kinds of university heritage values in both tangible and intangible forms. The book seeks to shed light on how European university heritage is problematized and acknowledged in terms of epistemic reparation and redress. Rather than taking the idea of Europe for granted, editors and contributors opt for an inclusive perspective that acknowledges diversity of positionalities and experiences in different political and historical contexts. By bringing such perspectives together, the book encourages connection and cross-thematic learning on topics such as colonialism, authoritarianism, racism and misogyny.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.018 | 0.056 |
| Scholarly communication | 0.023 | 0.011 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".