MétaCan
Menu
Back to cohort
Record W4385542285 · doi:10.1136/jech-2023-221067

Children’s right to the city and their independent mobility: why it matters for public health

2023· article· en· W4385542285 on OpenAlexafffund
Katherine L. Frohlich, Patricia Collins

Bibliographic record

VenueJournal of Epidemiology & Community Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsQueen's UniversityUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsNeighbourhood (mathematics)Public healthPsychological interventionPublic relationsPolitical scienceSociologyPsychologyMedicineNursing

Abstract

fetched live from OpenAlex

Automobile-centric community design, or 'motornormativity', severely restricts opportunities for children to engage in active transportation (AT) and outdoor free play (OFP). As these activities are critical to children's health and well-being, their decline has become a major public health concern. Meanwhile, independent mobility (IM) has emerged as a critical determinant of child development and well-being. Defined as 'the freedom for children to move about their neighbourhood without adult supervision', children's IM is in direct conflict with motornormativity. And yet, very few studies explore these three practices together, and very few public health interventions actively confront motornormativity to support children's IM. We hypothesise that IM is foundational to AT and OFP, and that efforts to increase AT and OFP are doomed to fail without a deep understanding of the barriers to children's IM. We conclude with ideas to study and support children's IM in public health research and practice.

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)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.010
Scholarly communication0.0050.007
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.000

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 head0.251
GPT teacher head0.445
Teacher spread0.194 · 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 designTheoretical or conceptual
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

Citations17
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Epidemiology & Community HealthSame topicChildren's Rights and ParticipationFrench-language works237,207