Bibliographic record
Abstract
Introduction The reality of austerity in our eight case study cities and elsewhere has been strongly shaped by a phenomenon, long studied by geographers and recognized across the social sciences as well as by practitioners in policy making, politics and activism: social, political and institutional spaces are structured through a hierarchy of spatial scales that is not pregiven but socially constructed. Emphasizing scale in this manner confirms an intuitive assumption we make on a daily basis – when we go to work from our home, or when we go on vacation – that ‘spaces across the world differ from one another’ (Brenner, 2009: 27). What might sound trivial, is an important marker in the way we understand the world around us. How, then, does scale matter specifically? We all know the concept of scale from the ways we use a map or a measuring tape. In this colloquial usage, we presuppose that there is a natural quality to the concept: we rely on its truth as given. If you use a map for a cycling trip, and its scale tells you that one centimetre on the map represents ten kilometres, you assume that if you plan a trip represented by five centimetres on the map, it means that the distance you will travel is, in fact, 50 kilometres in reality (never mind the hills and valleys). While this ‘natural’ understanding of scale underlies its use in this chapter, we add to it the notion that scale in social life is, for the most part, not a given but socially constructed. Being part of the general vocabulary with which we seek to understand the uneven spatial development of modern society, scale reveals its true explanatory power when we realize that it is a plastic concept that is subject to interpretation and negotiation. When we use scale in this manner, we refer to ‘the vertical differentiation of social relations among, for instance, global, supranational, national, regional, urban and/or local levels’ (Brenner, 2009: 31). We say: scale is socially constructed and use participles such as ‘scaling’ or ‘rescaling’ to refer to the more or less intentional activity to shape this ‘vertical differentiation.’ Political decision makers and activists refer to the scale of government at which they want their action to count: the nation state, the region, the county, the municipality.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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".