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Record W2002702948 · doi:10.3152/147154601781767140

Virtual tools for complex problems: an overview of the<i>Atlas<sup>NW</sup></i>regional interactive sustainability atlas for planning for sustainable development.

2001· article· en· W2002702948 on OpenAlexaboutno aff
Sarah Lindley

Bibliographic record

VenueImpact Assessment and Project Appraisal · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityAtlas (anatomy)Work (physics)Principal (computer security)Sustainable developmentComputer scienceSoftwareGateway (web page)Environmental planningPolitical scienceGeographyEngineeringWorld Wide WebGeology

Abstract

fetched live from OpenAlex

AtlasNW Regional Interactive Sustainability Atlas project allows users to explore the north-west region of England both within the present as a gateway to fostering a greater understanding of developmental issues (Explorer) and also into the future using a scenario model based on the Canadian QUEST software (FutureQUEST). The final prototype model will consist of an urban development, resources, transport and air emissions module together with the necessary economic model framework and will be targeted at two principal audiences: regional policymakers; and the general public through a user-friendly awareness-raising tool. This paper focuses on the development of the initial urban development module and offers some preliminary observations from the work to date.

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)0.002
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.002
Scholarly communication0.0060.007
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.008

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 head0.111
GPT teacher head0.412
Teacher spread0.301 · 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
GenreReview

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

Citations13
Published2001
Admission routes1
Has abstractyes

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Same venueImpact Assessment and Project AppraisalSame topicRural development and sustainabilityFrench-language works237,207