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Record W2108184144

An examination of outdoor experience in the development of character in young adults with Type 1 Diabetes

2012· article· en· W2108184144 on OpenAlexaboutno aff
Jennifer Hanson

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2012
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsnot available
Fundersnot available
KeywordsType 2 diabetesExperiential learningType 1 diabetesPopulationYoung adultPsychologyDiabetes mellitusGerontologyMedicinePedagogyEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Connected in Motion is a not for profit organization serving young adults with
\nType 1 diabetes. The organization hosted outdoor and experiential Type 1 diabetes
\neducation programs in January of2009 and 2010. The weekends provided non-clinical
\nalternative Type 1 diabetes education to the underserved population of young adults
\nwithin Canada. Six women living with Type I diabetes and between the ages of 22 and
\n30 participated in the Winter Slipstream weekends participated in this phenomenological
\nresearch study. Through semi-structured interviews and artifact-elicitation interviews,
\n,{
\nthe lived experiences of the participants were examined. Data analysis indicated that the
\nsense of community created through outdoor programming and experiential education
\nfor young adults with Type I diabetes stimulated the development of self-efficacy and
\nparticipant-perceived improvement in Type 1 diabetes self-management. There was no
\nindication that outdoor and experiential Type I diabetes education had any impact on the
\ndevelopment of autonomy among participants. Recommendations are made to
\nencourage the successful implementation of further alternative (non-clinical) Type 1
\ndiabetes education programs for young adults living with Type 1 diabetes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.186
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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.

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
Published2012
Admission routes1
Has abstractyes

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