Enacting property: Making space for the public in the municipal library
Bibliographic record
Abstract
The space of the municipal library is changing. Libraries are no longer the traditional haven for quiet contemplation. In many cities across North America and the UK, municipal libraries have become a central social hub, a social service provider and a place of shelter for the marginal. In combination with technological advances and the hovering threat of budget cuts, the space of the library and the multiple publics it serves has becoming increasingly debated. We argue that the library and its changing mandate can be usefully understood through a property lens. The library is not only public space, we argue, but also public property. The manner in which the library, as public property, is enacted, is complicated most immediately by the competing conceptions of the ‘public’ that the library is to serve, but also by the ambivalent relationship between the ‘public’ and the ‘private’, and by the spatiality of the library itself. We demonstrate these complications in the context of changes to the sleeping policy in the Edmonton Public Library in Alberta, Canada (2014–2015).
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.045 |
| Scholarly communication | 0.021 | 0.008 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 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".