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Record W7117106556 · doi:10.1080/17549175.2025.2607109

Cultural ecosystem services and sense of place: post-rehabilitation assessment of Wadi Hanifah’s performance from a socio-cultural lens

2025· article· en· W7117106556 on OpenAlexaff
Shahad Kashmiri, Luna Khirfan

Bibliographic record

VenueJournal of Urbanism International Research on Placemaking and Urban Sustainability · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsWadiLens (geology)Ecosystem servicesSense of placeThrough-the-lens meteringEcosystem

Abstract

fetched live from OpenAlex

This paper evaluates the socio-cultural performance of urban ecological rehabilitation through the lens of cultural ecosystem services (CES) and sense of place. Accordingly, it introduces a dynamic, context-sensitive evaluative framework that integrates place image, identity, and attachment as key performance indicators. The framework is applied to the rehabilitation of Wadi Hanifah in Riyadh, Saudi Arabia, using a mixed-methods approach that combines document reviews, online surveys, and semi-structured interviews to assess shifts in the Wadi’s meaning and use post-rehabilitation. Findings reveal a transformation in the Wadi’s place image – from associations with degradation and utilitarian function to one centered on recreation and heritage. The results underscore how ecological rehabilitation can foster socio-cultural value and strengthen collective identity. The proposed framework not only supports future evaluations of Wadi Hanifah but also offers a transferable model for assessing similar projects elsewhere, advancing more holistic understandings of the interplay between ecosystems and human experience.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.526

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 studies0.0010.001
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 head0.033
GPT teacher head0.432
Teacher spread0.399 · 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 designObservational
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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