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Record W2208374211 · doi:10.17831/rep:arcc%y132

The end of drawing: narrative visualization and community-based collaboration

2009· article· en· W2208374211 on OpenAlexafffund
John Bass

Bibliographic record

VenueARCC Conference Repository (Architectural Research Centers Consortium) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicLand Use and Ecosystem Services
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGeographerContext (archaeology)NarrativeDocumentationSociologySet (abstract data type)Experiential learningGraphic designVisual artsPublic relationsArchitectural engineeringEngineeringPedagogyComputer scienceHistoryGeographyPolitical scienceCartographyArtArchaeology

Abstract

fetched live from OpenAlex

That conventional design practice cannot substantively address many aspects of spatial production is beyond the concern of many architects and landscape architects, who would argue that the limits of their practice do not extend beyond the formal boundaries of buildings and grounds.It is at least arguable that growing anxiety about these limits led to the emergence of landscape urbanism, some practitioners of which employ a diverse array of graphic techniques not in the service of design, but instead to identify, analyze and describe problems and phenomena related to but beyond the selfimposed limits of building and ground.Landscape urbanism's open-ended objectives expand the field of potential research subjects and the potential for community-based engagement.At least initially, many communities may require the skills, if not the standard products, of an architect --skill sets learned during a design education --one set rooted in graphic description and analysis (documentation), the other, in the graphic description of synthesized interrelationships (design).Two landscape urbanists using contrasting techniques, Fernando Romero (geographer) and Jane Wolff (storyteller), provide a useful reference point.An open focus on the use of graphic skills is of benefit when working with aboriginal communities on British Columbia's coast.In that context, selecting which skills to use and how is dependent on issues that emerge from inside a collaboration rather than superimposed from outside, resulting in education, history, and legal evidence projects that are largely dependent on visual communication.These apparently simple acts of drawing have helped build trust between an academic and aboriginal community, and led to the development of other collaborative projects across environmental and social science disciplines.A wide-angle, open focus design practice of drawing research might be appealing to those unconvinced that building and ground are the practical limits of our disciplines.

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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0060.018
Scholarly communication0.0140.013
Open science0.0020.011
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.032
GPT teacher head0.319
Teacher spread0.286 · 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 designQualitative
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

Citations0
Published2009
Admission routes2
Has abstractyes

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