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Record W7002000875

Making space for children and youth in Surrey City Centre: An assessment of child and youth friendly policy & practice in Surrey, British Columbia

2010· dissertation· en· W7002000875 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsnot available
Fundersnot available
KeywordsInterimPlan (archaeology)Qualitative researchUrban planningSpace (punctuation)Public spaceFocus group
DOInot available

Abstract

fetched live from OpenAlex

The City of Surrey’s Plan for the Social Wellbeing of Surrey Residents, adopted in 2006, identifies creating a child and youth friendly city as a priority. This research project examines Surrey’s City Centre Plan Update, Phase II, Stage 1 report and Interim Urban Design Guidelines to understand how the City’s priority to be child and youth friendly is reflected in long term plans for Surrey City Centre. The analysis is framed around five physical elements or “building blocks” of a child and youth friendly city: land use and density, public realm, parks and play space, housing, and transportation. Through qualitative content analysis and interviews with City of Surrey staff, the research reveals the extent to which the needs of young people have been incorporated into plans for Surrey City Centre and discusses challenges associated with planning for families in what will be Surrey’s highest density neighbourhood.

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)0.003
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.005
Scholarly communication0.0040.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.315
Teacher spread0.294 · 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
Published2010
Admission routes1
Has abstractyes

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