The DOI matches its Crossref record.
Progress in Human Geography
Open accessAbstract
After making a substantial impact across the social sciences and humanities for more than a decade, interest in postmodernism is waning, creating an opportunity to reassess this theoretical programme free of the hyperbole that frequently surrounded discussion in the past. In its contextualism and critique of metanarratives, I approach postmodernism as a form of local knowledge, characterized as knowledge inevitably framed through the here of our collective presence and the now of our collective interests. Knowledge in short is group-centred, and chronocentric in its privileging of the current. This argument is extended to the idea and practice of modernism in the built environment, and contrasted with a postmodernism that reflexively works from an epistemology and ontology of the local. I suggest that lessons drawn from a critical postmodernism, emanating from the social movements of the 1965–75 period, have had constructive results in the built environment. As such, the legacy of postmodernism should not be forgotten as its life cycle seemingly draws to a close.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Pulido, L. (2017) · Progress in Human Geography · doi:10.1177/0309132516646495 · Cited by 842
Big data and human geography: Opportunities, challenges and risks
Kitchin, R. (2013) · Dialogues in Human Geography · doi:10.1177/2043820613513388 · Cited by 593
A History of the Concept of Spatial Autocorrelation: A Geographer's Perspective
Getis, A. (2008) · Geographical Analysis · doi:10.1111/j.1538-4632.2008.00727.x · Cited by 435
Transformational adaptation: agriculture and climate change
Rickards, L., & Howden, S. M. (2012) · Crop & Pasture Science · doi:10.1071/cp11172 · Cited by 417
Power, difference and mobility: feminist advances in migration studies
Silvey, R. (2004) · Progress in Human Geography · doi:10.1191/0309132504ph490oa · Cited by 342
Metadata
- Venue
- Progress in Human Geography
- Publisher
- SAGE Publications
- Published
- 2001-12
- Volume
- 25
- Issue
- 4
- Pages
- NP-NP
- ISSN
- 0309-1325 (ISSN-L)
- 1477-0288
- OpenAlex
- W1564468839
- Cited by
- 1,293
- References
- 0
- FWCI
- 143.78
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Progress in Human Geography. https://app.cochat.ai/papers/10.1191/030913201682688913
- The paper
- Progress in Human Geography. (2001). Progress in Human Geography. https://doi.org/10.1191/030913201682688913
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.