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Record W4399299680 · doi:10.1080/14601176.2024.2350879

The trajectivity of Persian gardens. A study to rethink contemporary landscape design

2024· article· en· W4399299680 on OpenAlex
Shabnam Rahbar

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueStudies in the History of Gardens & Designed Landscapes · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Architectural Studies
Canadian institutionsUniversité de Montréal
FundersFonds de Recherche du Québec-Société et Culture
KeywordsPersianLandscape designGeographyHistoryAestheticsCivil engineeringEngineeringArtLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This article seeks to shed new light on the reality of Persian gardens by examining them as a trajective reality, being formed through a set of continuous and ongoing exchanges with various human and natural elements constituting its environment. More particularly, it aims to highlight the process of reciprocal engendering that existed between the garden and the worldview of traditional Iranian society. In this way, it shows how the Persian garden is not only the imprint of the cosmology of the Iranian people but also, insofar as it unfolds a certain world, reciprocally its matrix. A content analysis as well as the study of several cases have allowed the identification of three types of relationship between the garden and the world of the ancient Persians through which they co-construct one another. These are: analogy, enrichment and complementarity. Finally, this study explores the importance of the building of such relationships in contemporary landscape design.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.104
GPT teacher head0.281
Teacher spread0.178 · 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