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Record W2554909678 · doi:10.1123/jpah.2016-0297

Results From Finland’s 2016 Report Card on Physical Activity for Children and Youth

2016· article· en· W2554909678 on OpenAlexaboutno aff
Tuija Tammelin, Annaleena Aira, Matti Hakamäki, Pauliina Husu, Jouni Kallio, Sami Kokko, Kaarlo Laine, Kati Lehtonen, Kaisu Mononen, Sanna Palomäki, Timo Ståhl, Arja Sääkslahti, Jorma Tynjälä, Katariina Kämppi

Bibliographic record

VenueJournal of Physical Activity and Health · 2016
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
FundersJyväskylän Yliopisto
KeywordsReport cardPhysical activityPromotion (chess)Psychological interventionSedentary behaviorGovernment (linguistics)PsychologyHealth promotionPositive Youth DevelopmentGerontologyEnvironmental healthMedicinePolitical scienceDevelopmental psychologyPhysical therapyPublic healthNursingPedagogyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Finland's 2016 Report Card on Physical Activity for Children and Youth gathers and translates research results and assesses the status and promotion of physical activity (PA) among Finnish children and youth less than 18 years of age. This article summarizes the results and provides grades for 9 indicators. METHODS: The working group evaluated the evidence and assigned grades of A (highest, 81% to 100%), B, C, D, or F (lowest, 0% to 20%) for 9 PA indicators using the Active Healthy Kids Canada Report Card development process. RESULTS: The grades varied in Finland as follows: 1) Overall PA/fulfillment of recommendations = D, 2) Organized Sport Participation = C, 3) Active Play = C, 4) Active Transportation = B, 5) Sedentary Behaviors = D, 6) Family and Peers = C, 7) School = B, 8) Community and the Built Environment = B, 9) Government = B. CONCLUSIONS: Despite good policies and programs to promote PA in Finland, children and youth overall PA levels are low, whereas their time spent sedentary is high. More effective interventions, operation models, concrete tools as well as environmental solutions are needed to support the work toward more physically active childhood and youth.

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)0.001
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 score0.922
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.342
Teacher spread0.298 · 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

Citations26
Published2016
Admission routes1
Has abstractyes

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