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Children's perceptions of attending a residential weight‐loss camp in the UK

2005· article· en· W4254079607 on OpenAlexaff
Nicholas L. Holt, Bridgette M. Bewick, Paul Gately

Bibliographic record

VenueChild Care Health and Development · 2005
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Alberta
FundersFonds National de la Recherche Luxembourg
KeywordsSummer campPsychological interventionWeight lossPerceptionPeer supportPsychologyMedicineObesityDevelopmental psychologyNursing

Abstract

fetched live from OpenAlex

Abstract Background and aim Residential camps have been used to deliver weight‐loss interventions to paediatric populations, but very little is known about how children perceive and evaluate attending such camps. Therefore, this study examined children's perceptions of attending a residential paediatric weight‐loss camp. Methods Fifteen attendees (mean age = 13.56) of the 2002 Carnegie International Camp‐UK (CIC‐UK) were engaged in semi‐structured interviews, which were transcribed verbatim and subjected to an inductive analysis procedure. Results Results reflected pre‐camp issues including worries (boot camp fears, being bullied) and goals and aspirations (weight loss goals, reducing bullying, increasing self‐esteem and making friends). Negative elements pertaining to the camp experience were homesickness and dietary concerns. Positive elements of the camp experience were enjoyment, peer support, staff support and choice of activities. Conclusion Enjoyment, support from peers and staff and choice over activities appear to be important aspects in the delivery of residential obesity treatments for children.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.283
Teacher spread0.273 · 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 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

Citations22
Published2005
Admission routes1
Has abstractyes

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