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Record W1995462947 · doi:10.2495/dn080221

Designing with nature in landscape architecture

2008· article· en· W1995462947 on OpenAlexaff
Danielle Dagenais

Bibliographic record

VenueWIT transactions on ecology and the environment · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsConceptualizationLandscape designLandscape architectureProcess (computing)EcologyBiodiversityNatural (archaeology)Environmental ethicsGeographyEpistemologyEnvironmental resource managementSociologyComputer scienceBiologyPhilosophyEnvironmental scienceArchaeology

Abstract

fetched live from OpenAlex

Two conceptual problems can be identified with the ecological design/design with nature paradigm in landscape architecture. The first is that the nature with which landscape designers are working is manifold in its expression. Researchers as well as philosophers who have studied ecological concepts, theories and conservation practices contrast ideas of nature as a collection of objects (a nature of biodiversity), to ideas of nature as process (a nature of ecosystems, energy transfers, and biogeochemical cycles). In fact, in the same way that conservation of biodiversity implies interventions akin to gardening, designing with biodiversity is very much compatible with garden and landscape design. A collection of taxons, that is specie and cultivar richness, is readily visible and representable. And in fact, growing a collection of plant taxons, whether displayed formally or informally, has been very much part of the history of gardens, long before the present legitimate interest in promoting biodiversity. In the second conceptualization of nature, nature can be understood as a force, a process, sometimes irrespective of the species or number of species involved. This is the nature that is implied in ecological engineering and in design based on natural community succession etc. Designing with such a nature raises the second question: the problem of the representation of the time involved in any process, in landscape in particular, since all theses processes take place in a time frame that exceeds our contact with the landscape. Didactic to poetic descriptions of processes occurring in the landscape or garden become the only way to acknowledge and represent the passage of time.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.175
Teacher spread0.169 · 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.

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

Citations1
Published2008
Admission routes1
Has abstractyes

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