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Record W2104948743 · doi:10.1093/pubmed/fdl022

Recreation for children on social assistance, 4–17 years old, pays for itself the same year

2006· article· en· W2104948743 on OpenAlexaffabout
Marilyn Ott, Gina Browne, Carolyn Byrne, Jacqueline Roberts, Amiram Gafni, Amanda Bateman

Bibliographic record

VenueJournal of Public Health · 2006
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsOntario Tech UniversityMcMaster University
Fundersnot available
KeywordsRecreationSubsidySocioeconomic statusSocial WelfareBusinessPsychologyMedicineSocioeconomicsEnvironmental healthPolitical scienceEconomicsPopulation

Abstract

fetched live from OpenAlex

A randomized control trial completed in the Hamilton-Wentworth and Halton regions of Ontario, Canada, was created to assess the effects and expense of age-appropriate provider-initiated and subsidized versus self-directed and self-financed methods of recreation. Upon completion, this study proved that the annual per-person expenditure for the subsidized, quality recreation paid for itself by children's lower use of healthcare and social services. The children within the subsidized recreation group had lower use of physician, physiotherapy, probation, children's aid society, social work, psychologist and services in comparison with those in the non-subsidized group. The subsidized group also proved to be beneficial for the parents as well. The use of health and social services, by the parents in the subsidized group, was also decreased in comparison with those of the self-financed group. This group also proved to have improvement of the global socioeconomic status, with a 10% greater exit from the social assistance program within 1 year.

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 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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.049
GPT teacher head0.339
Teacher spread0.290 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2006
Admission routes2
Has abstractyes

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