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Record W195739447

Children's Neighbourhood Geographies: Examining Children's Perception and Use of Their Neighbourhood Environments for Healthy Activity

2013· article· en· W195739447 on OpenAlexfundaboutno aff
Janet Loebach

Bibliographic record

VenueScholarship@Western (Western University) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchChildren's Health Research Institute
KeywordsNeighbourhood (mathematics)PerceptionGeographyPsychologySocial psychologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

This dissertation examines children’s everyday neighbourhood activities, and the role of the local environment in supporting or limiting their healthy behaviours. Research from the last two decades has documented a dramatic decline in the time children spend playing in their neighbourhood settings, and engaging in local active and independent travel. Traditionally, neighbourhood-based activities have fostered key developmental and health outcomes, including higher levels of physical fitness, the negotiation of new social relationships, and increased cognitive and environmental competence. The processes of carving out neighbourhood ‘domains’ for independent activity and establishing community relationships are also linked to the development of a healthy self-identity and attachment to place. The loss of neighbourhood experiences may therefore have adverse consequences for children’s health and well-being.\nThis study identifies and investigates patterns in children’s (aged 7 to 13 years) environmental perception, activity and mobility in various neighbourhoods within the mid-sized Canadian city of London, Ontario. Children’s local activities are examined through three complementary case studies utilizing a broad range of experiential, visual and qualitative tools, coupled with objective activity monitoring via portable GPS. Patterns in perception and behaviour were evident, but findings reinforce that children’s neighbourhood activities are highly individual and complex. Children were attuned to locally available activity opportunities, but neighbourhood engagements were generally limited and largely passive in nature. Recreational and commercial sites were identified as highly prized local destinations, but study neighbourhoods did not fully support the children’s diverse preferences. Many of the criteria of ‘child-friendly’ environments were lacking in study neighbourhoods.\nFindings also confirm that neighbourhood activity and mobility is influenced not only by individual characteristics such as a child’s age, but by neighbourhood social and physical conditions, as well as parent perceptions of this environment. Permission from parents for active, independent travel strongly predicted neighbourhood activity, generally expanding the size of a child’s domain and the time spent in local settings. On the whole, however, children spent little of their free time in neighbourhood environments; pedestrian-based domains were generally very small, comprised primarily of the area immediately surrounding their home. This research provides additional evidence that the local domains of children are shrinking, and that the neighbourhood is no longer a primary setting for childhood activities. These findings suggest that the primary landscapes of play are changing in ways that may be detrimental to children’s healthy development.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.075
GPT teacher head0.299
Teacher spread0.224 · 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

Citations1
Published2013
Admission routes2
Has abstractyes

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