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Record W4391943499 · doi:10.1111/cag.12907

The cultural infrastructure of cities By Alison L.Bain and Julie A.Podmore, Newcastle‐upon‐Tyne: Agenda Publishing. 2023. 304 pages. $52.00 (paperback). ISBN: 9781788214926

2024· article· en· W4391943499 on OpenAlexaffvenueabout
David Ley

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNewcastle upon tynePublishingMedia studiesPolitical scienceSociologyEconomic historyHistoryLaw

Abstract

fetched live from OpenAlex

This collection has the unusual quality, for an edited volume, of both diversity and coherence. Its 14 substantive chapters—there are also significant introductory and concluding chapters—range widely geographically, encompassing Toronto (several chapters), Berlin, Leipzig, London, Munich, New Orleans, Medellin, Oaxaca, São Paulo, Singapore, Montreal, Dublin, Ahmedabad, and a small unnamed Dutch city. Topically as well, each chapter engages a separate example of cultural infrastructure. The list runs the gamut of artists and cultural districts, open creative labs, accessible studio space, theatre, a dance venue, Carnival, youth-led peripheral cultural events, hawker centres, hipster retailing, the fashion industry, arts festivals, museums, libraries, and archives. This diversity is impressive, though it runs the risk of becoming unwieldy in its inflated variation. Considerable coherence is nonetheless achieved, due to the skill of the editors in providing clear frameworks in their introduction and conclusion, and in dividing the book into four parts (producing culture, performing culture, consuming culture, collecting culture) with short forewords binding the contributions in each part. The authors have clearly bought into the infrastructure problematic, leading to the emergence of a cumulative conceptual argument through the chapters. In this short review I note three themes from the book and one observation on infrastructure as problematic. One of the book's great strengths is its emphasis on change. Gentrification and urban redevelopment provide a backcloth to several chapters evoking chronic spatial uncertainty for cultural land uses. More acute is temporal uncertainty, as many authors identify the dire effects of COVID-19 and its demolition of former taken-for-granted norms and expectations. Adaptation became the evolutionary route to survival, and successful cultural venues pivoted to virtual programming and digitalization, while sidestepping the normal requirement of indoor face-to-face presence with virtual or outdoor performances. A second and related theme is the vulnerability of the cultural sector. Some projects are temporary from the start (Carnival, festivals), others are ephemeral, weighed down by insecure funding, space availability, and, perhaps, insufficient management skill and persistence. Even established institutions like theatres or museums depend on the vagaries of government funding and donor commitment, and may be stressed by sudden political or economic change or a random shock like the pandemic. A third theme in some, though not all, chapters is the presentation of cultural events as sites of resistance. A pervasive character of the artistic worldview is revisioning conventional understanding, a position that leads to a lexicon of unsettling, overturning, and reversal. Since the Romantic movement (at least) revisioning has included a redemptive, political edge. In the developing world of Global South cities, chapters place cultural expressions against the contexts of poverty, social exclusion, and religious conflict, while in northern cities authors present resistance more often in conflicts around gender and sexuality. An outlier here is the chapter on community programming in a Dutch library and the role of the volunteer in welcoming and facilitating diverse users. Among the calls for disruption and subversion, cultural geography should not overlook such worlds of care and community-building. In my scholarly journey I missed the infrastructural turn noted by almost all authors in this volume. Consequently, I look at cultural infrastructure as something of an outsider, familiar enough with the substantive topics in this collection, but more quizzical of the conceptual problematic. The Introduction addresses this issue comprehensively, but misgivings remain. Most chapters emphasize that infrastructure includes materialities (hard infrastructure) and also social, or soft, infrastructure. But there is more. First, the editors identify infrastructure “as an everyday lived experience in and of itself,” so that we can think of “people as infrastructure” (p. 7); in a later chapter, the human body appears as “foundational infrastructure” (p. 120). So does structure also include agency? Second, impinging upon (or part of?) cultural infrastructure, chapters evoke such entities as the political infrastructure, the economic infrastructure, even the digital infrastructure. Is there a logjam of language here? On several occasions authors use “ecosystem” and even “assemblage,” famously commodious terms, as synonymous with “infrastructure.” The old question arises: in spreading its ambitions so widely, is this problematic losing its analytical power? This is more a question, less a criticism, and an opening to conversation. It should not be the last word concerning a collection of essays that is empirically interesting, artfully creative, cohesively satisfying, and well-edited throughout.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0020.002
Scholarly communication0.0080.007
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0320.017

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.

Opus teacher head0.019
GPT teacher head0.229
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

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Citations0
Published2024
Admission routes3
Has abstractyes

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