MétaCan
Menu
← Back to cohort
Record W2413952386

[Diet and physical activity in Norwegian psychiatric institutions].

2005· article· en· W2413952386 on OpenAlexaff
M Thommessen, Egil W. Martinsen, Gunn Helene Arsky

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsNutrasource
Fundersnot available
KeywordsNorwegianPhysical illnessPsychiatryPhysical activityMedicineWeight managementWeight lossPsychologyObesityPhysical therapyMental health
DOInot available

Abstract

fetched live from OpenAlex

The food served in psychiatric institutions may in general be described as a standard diet similar to that served in somatic hospitals, with no or little adjustment made to the special needs of the individual psychiatric patient. The emphasis on physical activity is also generally low. This paper presents results and strategies in a sample of sixteen Norwegian psychiatric institutions that have undertaken a one-year weight management programme with focus on structural changes in dietary and physical activity practices. Prevention and treatment of weight gain in psychiatric patients is difficult, but not impossible. All institutions included in this project have made changes in the dietary practice and the routines for physical activity, with less severe weight problems in the patients as a result. Coordinated approaches are necessary if the efforts are to succeed.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.052
GPT teacher head0.313
Teacher spread0.260 · 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 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

Citations1
Published2005
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicPhysical Activity and Health→French-language works237,207→