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Record W7039121814

Landscape Space: Integration of Culture and Nature

2012· article· en· W7039121814 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsLandscape designLandscape archaeologyLandscape historyLandscape architectureSoft landscape materialsHard landscape materialsTemporalityNatural landscape
DOInot available

Abstract

fetched live from OpenAlex

Landscape Space: Integration of Culture and Nature Authors: Dr. Shahram Pourdeihimi, MArch(SBU), PhD(Leeds) Professor, school of architecture and Planning, Shahid Beheshti University Sassan Seyedkalal, PhD Candidate(SBU), MArch(SBU), MLA(Guelph) Keywords: Landscape, landscape space, landscape and environment, binary thinking in landscape architecture, culture/nature The word landscape encompasses a wide range of meanings varying from ideas and mental conceptions to land and physical environment surrounding human world. It is commonly attributed to place, environment, garden and scenery. Landscape as a concept is not equivalent to environment and it covers a broader realm than garden does. Landscape is a complex concept that embodies multiplicities of different intertwined meanings. It is surrounded with ambiguities and misconceptions, Therefore the concept of landscape needs clarification. The spatial quality of Romantic gardens was the source of inspiration for development of the concept of space in architectural discourse. Landscape is a spatial concept and inherent spatiality of landscape architecture as one of the environmental design disciplines makes it a spatial discipline, yet rarely is the concept of space considered as the focus of study in theory of landscape architecture. Spatiality of landscape is the result of the interaction of culture and nature in specific places and over time. Landscape is conceived, perceived and through living it is experienced. Landscape space is bound into places with their geographical and topographical attributes. Temporality is a fundamental characteristic of landscape that distinguishes it from buildings and architectural works, but seeing landscape as a timeless picture or scenery has pervaded discipline of landscape architecture since eighteenth century. Landscape is the outcome of interactions and interrelationships between natural processes, living beings and environment. Landscape is experienced in motion, change and growth. Space in landscape is experienced through time. Landscape is the product of culture and it can be used as a medium for cultural expression and cultural change. Landscapes are representations of the quality of the relationship between man and his environment and dwelling therein. The idea of landscape has been under influence of binary thinking and various binary sets such as self/other, culture/nature, ecological/artistic, picture/process and art/science have affected the way we relate to landscapes. These binaries have dominated theory and practice in various disciplines related to landscape. This study highlights the mediating role of landscape and landscape design as a cultural, natural and spatial medium bridging between two opposing poles of binary sets of concepts and meanings. Today the environmental crisis in the world and emergence of sustainability as an environmental paradigm in academic and professional debates necessitates rethinking the relationship between culture and nature in landscapes: a reconciliation between aesthetic values and ecological values. Emergence of ecological aesthetics and ecological design is the outcome of a new vision toward relationship of man with nature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.009
Scholarly communication0.0100.007
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.082
GPT teacher head0.469
Teacher spread0.387 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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