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Record W4402688950 · doi:10.29173/topo53

Fostering Social Equity in Planning and Urban Design with Children

2024· article· en· W4402688950 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueTopophilia · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEquity (law)Social equalityEnvironmental planningBusinessPsychologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

This research paper explores the idea of fostering social equity in planning and urban design with a focus on children. It argues that the built environment significantly influences a child's development, health, and well-being. The paper emphasizes the importance of incorporating children's rights and child-friendly design into urban planning to address the issue of children being overlooked and lacking the opportunity to understand the effects of urban development on the growth of children. It highlights the benefits of developing child-friendly cities, enhancing urban playability and spaces, and encouraging civic participation among children. Moreover, it discusses the challenges and complexities of creating inclusive and sustainable cities that meet everyone's needs while prioritizing advantageous aspects of child-friendly cities in urban design. By focusing on children, planners can create environments that nurture the well-being of all community members, leading to healthier, happier, and more equitable communities.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.176

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.420
Teacher spread0.307 · 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