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Record W2143037602 · doi:10.5539/jfr.v2n6p72

Food Preparation at Home an Example of New Practical Strategies in the Swedish Municipal Food Service - A Qualitative Study

2013· article· en· W2143037602 on OpenAlexvenueno aff
Zada Pajalić

Bibliographic record

VenueJournal of Food Research · 2013
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsFood serviceQualitative researchService (business)Food preparationNursingParticipatory action researchContent analysisCitizen journalismPsychologyAction (physics)MedicineGerontologyFood safetyBusinessSociologyMarketingPolitical science

Abstract

fetched live from OpenAlex

<p>The purpose of the present study was to describe how one of 290 Swedish municipalities improved its FS service by terminating their earlier service of food distribution (FD) which was the delivery of ready cooked meals produced at a central kitchen in the community and introducing food preparation at the client’s home. The revised system is referred to as the new FS. This study was performed using an action research approach. The data was collected by individual- and group interviews and through participatory observations. The transcribed interview material was analysed using qualitative content analysis. The (n=30) subjects were recruited The findings of this study revealed that the new FS was experienced as being a good service, that the new municipal FS met individual needs in a better way and that the elderly recipients could participate more actively in planning and preparing their meals. In conclusion, it was found that having their food prepared at home was considered by many of the recipients to be synonymous with individually adjusted help. The results of the study could have implications for nursing, public administration and gerontology.</p>

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.733
GPT teacher head0.649
Teacher spread0.084 · 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 designQualitative
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

Citations6
Published2013
Admission routes1
Has abstractyes

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