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Record W3155362835 · doi:10.22215/etd/2019-13865

How can World Design Capital (WDC) programme better incorporate United Nation's Sustainable Development Goal 11 (SDG 11) in future strategies?

2019· dissertation· en· W3155362835 on OpenAlexaff
Muhammad Asfand

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsSustainable developmentCapital (architecture)Social capitalEconomic growthRegional sciencePolitical scienceBusinessGeographyEconomics

Abstract

fetched live from OpenAlex

The research study investigates the ways World Design Organization's (WDO) World Design Capital (WDC) programme can improve in incorporating United Nations' Sustainable Development Goal 11 (SDG 11): Sustainable Cities and Communities as part of its design agenda which can help in the sustainable development of cities.The steady rise of the global population leads to global cities facing significant development challenges in the areas of environment, economic and social sectors.Therefore, these global cities instigate various design strategies including implementing the concept of sustainable development as a design strategy to counter and restrain such challenges.WDC programme is a strategical design programme that also assists WDC designated cities with the development of environment, economic and social sectors by advocating critical design strategies and ideas.As the WDC programme aims to improve its design agenda and provide new innovative insights to the future WDC designated cities and as well ideas to global cities, it significantly looks at SDG 11 as an opportunistic way-forward step that can cater towards various forms of cities' development.The research investigated this through a series of discussions with WDO members that prompted their key suggestions in relation to SDG 11 related design strategies and ideas to help the development of cities and as well the development of the WDC programme.

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)0.019
metaresearch head score (Gemma)0.014
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 score0.019
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0050.007
Scholarly communication0.0190.014
Open science0.0010.006
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0110.003

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 head0.023
GPT teacher head0.222
Teacher spread0.198 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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