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Record W7033155514

“A place where I belong”: Exploring the meaning of social support among Manitoban youth living with Type 2 Diabetes through a Grounded Theory study

2016· dissertation· en· W7033155514 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGrounded theorySocial supportMeaning (existential)Psychological interventionPerceptionQuality of life (healthcare)Type 2 diabetesPsychological resilience
DOInot available

Abstract

fetched live from OpenAlex

Manitoba has the highest rate of type 2 diabetes in Canada, exceeding other provinces 12-fold. Current literature has suggested that social supports are critical to the promotion and adoption of healthy living in youth living with type 2 diabetes. As such, high quality social support has been perceived as positive and can enhance youths’ resilience against life stressors. Despite this suggestion, there is little evidence on how best to support this population. The purpose of this Masters thesis was to explore the meaning of social support among Manitoban youth living with type 2 diabetes. Guided by a constructivist grounded theory approach, youth identified the following avenues of social support: family, friends, health care professionals, school and programming. Future interventionists should be aware of the vast incongruence in patients’ and physician’s perceptions of health in type 2 diabetes and design interventions accordingly.

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)0.006
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 score0.843
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0110.005
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0010.003
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 head0.025
GPT teacher head0.224
Teacher spread0.199 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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