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Record W4395451557 · doi:10.18280/ijdne.190221

The Coexistence of Opposites in Contemporary Architecture

2024· article· en· W4395451557 on OpenAlexvenueno aff
Ghusoon Najm Abdulzahra, Abbas Ali Hamza Al Greiza

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2024
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureSociologyGeographyArchaeology

Abstract

fetched live from OpenAlex

Critical and rhetorical studies that dealt with the concept of opposites have always dealt with the language of architecture and its texts in analysis and theorizing, as the texts multiplied and accumulated and their qualities changed and contradicted each other.Some of them were distinct, and others were complicated in their meaning.The study aims to understand the nature of opposites in architectural practice at the level of text production and reading by Shedding light on employing the concept of coexistence as a consensual strategy that can formulate and read contemporary architectural text based on a system of intellectual and formal perceptions (opposites) and pairing them to create a multi-level architectural text that is understandable, and conceptual and semantic systems governed by previous perceptions (collective memory), to preserve what is Inherited and allowing for what is contemporary.The research reached the importance of developing a conceptual or semantic model that facilitates the process of dialectical thinking, represented by knowing the levels and formulas for achieving coexistence between opposites at the level of text production and reading, and thus the immunity of architectural texts from unstudied contradictions.The study conducted in the research adopted a qualitative, descriptive and analytical approach, represented by collecting and analyzing data from previous studies to build a theoretical framework and apply it to the (Central Bank Tower) project in the city of Baghdad.A group of architectural designers surveyed it to arrive at results, conclusions and then recommendations.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
Threshold uncertainty score0.253

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 integrity0.0000.001
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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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 designSimulation or modeling
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

Citations1
Published2024
Admission routes1
Has abstractyes

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