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Record W4387020665 · doi:10.18280/ijsdp.180915

Requalifying the Irbid Refugee Camp: Towards Integrated Urban Development in Jordan

2023· article· en· W4387020665 on OpenAlexvenueno aff
Zaid A.O. Aldeek, Muna M. Alibrahim, Saja A. Zeadeh

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeGeographyEnvironmental planningArchaeology

Abstract

fetched live from OpenAlex

The issue of refugee camps in Jordan stems from a complex combination of political and socioeconomic factors, resulting in lasting consequences.The main challenge lies in the growth and integration of spontaneous urban settlements within the larger urban framework, which has remained persistent over time.This hinders the proper integration and adaptation of the camps to their surrounding metropolitan contexts.The absence of comprehensive methods to include these refugee camps in broader urban development plans exacerbates the situation, perpetuating the existing untenable conditions.To address this issue, the study gathered data from various sources to highlight the current situation and identify the problems that need to be resolved before considering future solutions.The collected data describe the social and economic structure of the Irbid Refugee Camp, with a specific focus on the camp's construction.The research employed a mixed approach to data collection, including questionnaires administered to camp residents, interviews conducted with both inhabitants and policymakers to gain a comprehensive understanding of their needs and perspectives, and observational methods to study interactions between inhabitants and the surrounding environment.Data analysis reveals that refugee camps are disproportionately located on the outskirts of cities, underscoring the importance of integrating the camps into the city's spatial, social, and political structures.To address this, new spatial configurations are required to accommodate changing needs, services, and infrastructure, including the establishment of warehouses.Key findings from the analysis emphasize the promotion of integration between the Irbid Refugee Camp and the municipal fabric, the necessity of investing in infrastructure that connects the camp to the city center, and the equitable allocation of resources and services between refugee groups and host populations, thus reducing socioeconomic disparities.The research highlights the need for a masterplan that can address the demands and aspirations of the local community while ensuring long-term planning for the city of Irbid.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0050.003
Open science0.0010.009
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.040
GPT teacher head0.326
Teacher spread0.286 · 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
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
Published2023
Admission routes1
Has abstractyes

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