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Record W4364377885 · doi:10.18280/ijsdp.180315

Building Regulations Assessment in Terms of Affordability Values. Towards Sustainable Housing Supplying in Palestine

2023· article· en· W4364377885 on OpenAlexvenueno aff
Mohammed Itma, Wasim Salama

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsPalestineEnvironmental planningBusinessSustainable developmentNatural resource economicsEnvironmental economicsEnvironmental sciencePolitical scienceEconomicsLawAncient history

Abstract

fetched live from OpenAlex

Achieving a sustainable supply of affordable housing is a strategic aim for the sustainable development of each country.This study highlights the relationship between local building regulations and the sustainable supply of affordable housing in Palestine.To do so, the paper assesses the building regulations in terms of achieving affordability in housing design.Thus, an assessment framework was developed based on learning from traditional design which proved to cover three values of affordability: collectivity, sharing, and diversity, as well as several factors of changes related to each of these values.The research data were collected through a survey of the opinion of 30 experts in the field of designing and building affordable housing in three main Palestinian cities: Nablus, Ramallah, and Jenin.The results showed that the need for values of affordability increases at the urban level compared to the single-building level.The paper's main finding is to establish an approach for a sustainable supply of affordable housing based on collectivity, sharing, and diversity.This approach can be a highpotential step for achieving sustainable development in Palestine.Therefore, several affordability-encouraging suggestions were made for improving the building regulations in Palestine based on the results of the paper.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.298
Teacher spread0.279 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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