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Record W4206628948 · doi:10.53700/jrap1212012_1

NED CITY CAMPUS RESTORATION SETTING BENCHMARKS FOR CONSERVATION PRACTICES

2012· article· en· W4206628948 on OpenAlexaff
Anila Naeem, S. F. A. Rafeeqi

Bibliographic record

VenueJournal of Research in Architecture & Planning · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsAbandonment (legal)University campusEnvironmental planningArchitectural engineeringSustainabilityCivil engineeringEngineeringBusinessPolitical scienceGeography

Abstract

fetched live from OpenAlex

NED University of Engineering and Technology originated in 1922 from what is now known as its ‘City Campus’ or ‘Old Campus’ located in the hub of Karachi’s historic areas. Shifting of university campus to its present location on University Road in 1975 led to the abandonment of this historic site for more than twenty years; adversely affecting the structures due to neglect and disuse. In 1997 NED City Campus was declared as a listed heritage of Karachi given protection under the Sindh Cultural Heritage Preservation Act 1994. In 2000, realizing its importance as an invaluable asset the NED university’s Department of Architecture and Planning conceptualized the vision for restoring this campus and putting it to use; not only on grounds of its historic significance but also for reasons of sustainability, environmental enhancement and regeneration of historic fabric. Restoration of NED City Campus is envisioned with an approach of minimal interventions and respect to the original setting, layout and materials of construction; closely following the international principles of heritage conservation. The approach is to achieve optimum utilization of campus premises primarily as an educational hub; but additionally introducing a variety of ancillary activities to facilitate extended usage of the property. Being an extensive undertaking the project is planned and being executed in phases; the first major phase being the restoration of ‘Bai Puribai Becharbhai and Bercharbhai Raichand Block’. This paper gives an overview of this first phase, with a focus on interventions carried out to consolidate the existing structural members of the historic building.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.313
GPT teacher head0.416
Teacher spread0.104 · 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.

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

Citations4
Published2012
Admission routes1
Has abstractyes

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