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Record W4409211694 · doi:10.18280/ijsdp.200304

An Investigation on University Perception of Spatial Element Functionality of Irbid, Jordan

2025· article· en· W4409211694 on OpenAlexvenueno aff
Saeed Hussein Alhmoud, Husam Hussein Alhmoud, Anas Mohammad Bataineh

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsElement (criminal law)PerceptionGeographyEngineeringArchitectural engineeringCivil engineeringPsychologyPolitical science

Abstract

fetched live from OpenAlex

Focus on well-being has gained prominence and is now an integral part of designing corridor spaces because of its profound effect on the campus environment.While numerous studies have investigated the characteristics of corridor spaces, the potential of transitional or corridor spaces remains underexplored.This study explored innovative applications of interior design to enhance visual appeal and functionality within enclosed internal corridors.Specifically, it focused on modifying spatial elements in the corridors of Jordan University of Science & Technology (JUST) in Jordan by introducing or removing architectural masses to create movement spaces with both practical and aesthetic value, evaluating the reality of the corridors space design.The research issue being addressed here revolves around the limited knowledge of how the design of corridor spaces affects the environment and user well-being criteria.As a result, there is a lack of established standards or guidelines for designing corridors to enhance spatial element functionality on perception.The paper employed theoretical approaches and survey questionnaires to gauge user satisfaction and assess their desire for change.Additionally, practical application methodologies were developed based on a novel design approach that emphasized the analysis of existing case study.ANOVA shows significant satisfaction differences among various aspects (p < 0.05).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.177

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.248
Teacher spread0.223 · 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 designQualitative
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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