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Record W4306951141 · doi:10.18280/ijsdp.170628

The Image of Amman City: Structure, Identity, and Meaning

2022· article· en· W4306951141 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownMeaning (existential)PedestrianMental mappingArchitectural engineeringIdentity (music)Urban structureRepresentation (politics)ArchitectureObserver (physics)GeographyImage (mathematics)Transport engineeringCivil engineeringComputer scienceUrban planningArtificial intelligenceAestheticsPsychologyEngineeringPolitical scienceSocial psychologyArchaeology

Abstract

fetched live from OpenAlex

The study provides a better understanding of how city inhabitants perceive and navigate their surroundings hence the urban environment consists of both physical elements and mental representations. The study objective is to review the concept of the image of the city and its implementation in Downtown Amman - Jordan using the descriptive-analytical methodology in addition to site visits and observation that provides a detailed urban mental map for Downtown Amman illustrated by the different layers of the urban fabric. the study shed light on three components of the city image: Identity (the recognition of urban elements as distinct entities), structure (the relationship between urban elements and the observer), and meaning (the relationship between urban elements and the emotional value for the observer). By summarizing the analysis of the downtown Amman image, a visual representation of what appear to be the key issues in the city image. The analysis shows problems such as "Break of continuity", "Branching" and "Lack of integration" have appeared due to the lack of clear organization of the shape of the city facades and the way signs are placed, as well as the mixing of pedestrian paths with vehicles traffic.

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.

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 score0.280
Threshold uncertainty score0.204

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 head0.011
GPT teacher head0.226
Teacher spread0.216 · 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