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Record W4407650553 · doi:10.1080/01436597.2025.2460651

Turning Walled City Lahore into a spectacle: the unintended consequences of heritage conservation

2025· article· en· W4407650553 on OpenAlexaff
Rabia Nadir

Bibliographic record

VenueThird World Quarterly · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsTrinity College
Fundersnot available
KeywordsSpectacleUnintended consequencesWorld heritagePolitical scienceGeographyDevelopment economicsEconomicsTourismLaw

Abstract

fetched live from OpenAlex

This paper sheds light on the antecedents and consequences of the much lauded ‘Sustainable Development of Walled City Lahore Project’ (SDWCLP), which was initiated by the Walled City Lahore Authority (WCLA) to conserve the tangible and intangible heritage of the ancient core of modern Lahore, which was seen to be facing destruction from commercial growth and neglect. Based on extensive fieldwork and archival research, we show how the WCLA sought to transform Lahore’s Walled City into a heritage tourism destination aiming to bring economic growth yet conserve its cultural heritage. Drawing upon critical heritage studies and Guy Debord’s concept of the ‘spectacle’, we illustrate how a convergence of structural violence and neoliberal government policies created the conditions in which a project like SDWCLP was made possible. The SDWCLP’s mission to preserve heritage attempted to commodify local life and historical sites and monuments for tourist consumption, turning the Walled City into a curated display detached from the lived life of the city. In shining a light on the unintended consequences of such heritage preservation projects, we add to and build upon the work of critical heritage studies scholars who study local class dynamics, tourism investment, planning discourses and sustainability of historical settlements.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.254
Teacher spread0.205 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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