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Record W2055779390 · doi:10.5539/jsd.v6n2p39

Urban Heritage in Baghdad: Toward a Comprehensive Sustainable Framework

2013· article· en· W2055779390 on OpenAlexvenueno aff
Akram Jassim Al-Akkam

Bibliographic record

VenueJournal of Sustainable Development · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsVitalitySustainabilityGovernment (linguistics)Environmental planningPlan (archaeology)Sustainable developmentCultural heritageBusinessPolitical scienceGeography

Abstract

fetched live from OpenAlex

Architectural heritage is the most important legacy of civilisation and through it we can readily grasp the history of nations. Architects, urban planners and policymakers are now aware that historic cities require regulatory mechanisms if they are to maintain and enhance the fabric upon which their historicity and economic vitality is based. The historic areas in Baghdad, like those in Iraq, are suffering from declining infrastructure, a deteriorating environment, a lack of modern facilities, high unemployment rates, collapsing social impact and weakness in its urban institutions. Such pressures have brought into focus the extent to which sustainable development policies can contribute to the management of change in historic areas. A central objective of this investigation is to explore how the conservation-led regeneration of historic areas in Baghdad may be carried out in a way that promotes social, economic and environmental sustainability, and the full participation of all stakeholders. To achieve the research objective, the main theme, a hypothetical comprehensive model, and a plan and action plan are proposed. The conclusions reached demonstrate that to achieve the strategy of immediate sustainable conservation-led regeneration, the government should contribute to such conservation projects and support the formation of an institutional framework.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.229
Teacher spread0.183 · 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 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

Citations21
Published2013
Admission routes1
Has abstractyes

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