The sanctuary spectrum: (re)imagining the sanctuary to come through the lens of higher education
Bibliographic record
Abstract
In this article we utilise an abolitionist lens to interrogate initiatives delivered under the auspices of 'sanctuary' within the higher education (HE) sector in order to (re)imagine it in this space. 'Sanctuary' is broadly understood to mean safety and protection - underpinned by the need to resist immigration control and create spaces of refuge for precarious migrants. The 'sanctuary spectrum' is a medium through which we explore conceptual thinking pertaining to sanctuary initiatives, centring on bordering, deservingness, care and solidarity, as it facilitates the inclusion of diverse perspectives and interpretations. Situating and analysing sanctuary initiatives in HE on this spectrum from an abolitionist framework allows exploration of the fluidity of their interpretation, as either actions that seek to radically change structures and inherent inequalities (non-reformist) or render existing structures tolerable (reformist). This offers the potential to connect existing and shape new strategies to build an inclusive abolitionist sanctuary movement.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.069 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".