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Record W4319461897 · doi:10.1111/obr.13551

Young people will shape the future

2023· article· en· W4319461897 on OpenAlexaboutno aff
Zuzanna Burzyńska

Bibliographic record

VenueObesity Reviews · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsCharterStatus quoPoliticsGlobeHealth promotionPolitical sciencePublic relationsPsychologyGerontologyMedicineLawHealth care

Abstract

fetched live from OpenAlex

“People cannot achieve their fullest health potential unless they are able to take control of those things which determine their health” declares the Ottawa Charter, the founding statement on the promotion of health from the World Health Organization (1986).1 Yet to “take control” of the determinants of health—such as the obesogenic risks in the environment—can be hard for any person, but perhaps especially hard for younger people, who may have neither the resources nor the political influence to challenge the status quo. The first step is to recognize the value of youth involvement in the process of designing and implementing policies concerning obesity. Young people from across the globe truly have bright and innovative ideas that, of course, may sometimes differ from those of adults, but are by no means less valuable due to the fact that youngsters have their own unique perspective on the matters that the older generations are currently dealing with. Furthermore, young people such as myself will live with the results of those policies in the upcoming decades and therefore, it is crucial for us to get a chance to have an impact on our future. When it comes to health-related policies, young people are particularly interested because more and more teenagers suffer from, for instance, obesity or diabetes. Additionally, a common interest in these topics may be observed these days because youngsters—in general—have acquired a clear understanding of the importance of leading a healthy lifestyle. To give an example, I myself am a type 1 diabetic and that is why I have been familiarizing myself with the disease, healthy nutrition/lifestyle, and the general situation of people coping with diabetes or any complications of it in my country for the past 6 years. Indirectly, this is also the main reason why I decided to join the CO-CREATE Youth Declaration Task Force (see www.co-create.eu) when the opportunity of applying for a place in the program arose—I wanted to share the knowledge that I had previously gained. Even though the declaration may and should be further improved, we strongly believe that these four statements—if implemented by policymakers and other stakeholders—would drive change in the field. However, we cannot make these changes alone. We are not able to act without any help from the authorities and that is exactly why we want to be heard, carefully listened to, and included in the process of bringing the demands into effect. Then, together, we can truly “take control” and influence not only the present, but also the future.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.131
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.010

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 head0.037
GPT teacher head0.301
Teacher spread0.264 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2023
Admission routes1
Has abstractyes

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