MétaCan
Menu
Back to cohort
Record W7135286198

Aanvullende module Leefstijlmonitor Bewegen & Ongevallen 2023 Vergelijking met de Gezondheidsenquête

2024· article· W7135286198 on OpenAlex
C Hupkens, M Hiemstra, B Snijders

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRivm (National Institute for Public Health and the Environment) · 2024
Typearticle
Language
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsCanadian Bio-Systems (Canada)
Fundersnot available
KeywordsTerm (time)Work (physics)Power (physics)
DOInot available

Abstract

fetched live from OpenAlex

De Gezondheidsenqute (GE) is een belangrijk onderdeel van de Kern van de Leefstijlmonitor (LSM-K) en wordt ieder jaar afgenomen.Op basis van de GE worden een aantal kernindicatoren voor Leefstijl ter ondersteuning van het beleid berekend en gepubliceerd op de website van de Leefstijlmonitor, en de Staat van Volksgezondheid en Zorg.Daaronder vallen bijvoorbeeld prevalentie cijfers over het voldoen aan de Beweegrichtlijnen.In de aanvullende modules van de Leefstijlmonitor (LSM-A) worden ook vragen gesteld over bewegen en ongevallen, maar dienen een ander doel, namelijk als achtergrondkenmerk of verdiepingsslag.Sommige vragen uit de LSM-A zijn hetzelfde of ongeveer hetzelfde als die in de GE.In dit document zullen overeenkomsten en verschillen van opzet van onderzoek, vraagstellingen en resultaten worden geschetst.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.338
Teacher spread0.263 · 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