Bibliographic record
Abstract
‘Space’ is very much on the agenda these days. On the one hand, from a wide variety of sources come proclamations of the significance of the spatial in these times: ‘It is space not time that hides consequences from us’ (Berger); ‘The difference that space makes’ (Sayer); ‘That new spatiality implicit in the postmodern’ (Jameson); ‘It is space rather than time which is the distinctively significant dimension of contemporary capitalism’ (Urry); and ‘All the social sciences must make room for an increasingly geographical conception of mankind’ (Braudel). Even Foucault is now increasingly cited for his occasional reflections on the importance of the spatial. His 1967 Berlin lectures contain the unequivocal: ‘The anxiety of our era has to do fundamentally with space, no doubt a great deal more than with time.’ In other contexts the importance of the spatial, and of associated concepts, is more metaphorical. In debates around identity the terminology of space, location, positionality and place figures prominently. Homi Bhabha, in discussions of cultural identity, argues for a notion of a ‘third space’. Jameson, faced with what he sees as the global confusions of postmodern times, ‘the disorientation of saturated space’, calls for an exercise in ‘cognitive mapping’. And Laclau, in his own very different reflections on the ‘new revolution of our time’, uses the terms ‘temporal’ and ‘spatial’ as the major differentiators between ways of conceptualizing systems of social relations. In some ways, all this can only be a delight to someone who has long worked as a ‘geographer’. Suddenly the concerns, the concepts (or, at least, the terms ) which have long been at the heart of our discussion are at the centre also of wider social and political debate. And yet, in the midst of this gratification I have found myself uneasy about the way in which, by some, these terms are used. Here I want to examine just one aspect of these anxieties about some of the current uses of spatial terminology: the conceptualization (often implicit) of the term ‘space’ itself. In part this concern about what the term ‘space’ is intended to mean arises simply from the multiplicity of definitions adopted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".