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Record W2395159522 · doi:10.1089/jpm.2015.0241

Investing in Uncertainty: Young Adults with Life-Limiting Conditions Achieving Their Developmental Goals

2016· article· en· W2395159522 on OpenAlexaff
Karen Cook, Susan M. Jack, Harold Siden, Lehana Thabane, Gina Browne

Bibliographic record

VenueJournal of Palliative Medicine · 2016
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcMaster UniversityUniversity of British ColumbiaAthabasca University
Fundersnot available
KeywordsLimitingTransformative learningPalliative careMedicinePsychologyGerontologyNursingDevelopmental psychology

Abstract

fetched live from OpenAlex

BACKGROUND: With improvements in pediatric care and technology, more young adults (YAs) with life-limiting conditions (LLCs) are surviving into adulthood. However, they have limited expectations to live beyond the first decade of adulthood. This study describes the monumental efforts required for YAs with LLCs to achieve their goals in an abbreviated life. OBJECTIVES: The experiences and aspirations of YAs with LLCs to achieve their goals are relatively unknown. This report focuses on their experiences of living with uncertainty and its impact on achieving developmental goals. DESIGN: This study is one component of a larger descriptive study using an innovative bulletin board focus group to examine life experiences of YAs with LLCs. RESULTS: YAs with LLCs share the aspirations and goals of all YAs. Some participants demonstrated a striking capacity to navigate system barriers and achieve their goals, whereas others "got stuck" resulting in lost opportunities. Successful personal life investments were possible if resources were made available, coordinated, navigable, and responsive to new and special requests. Transformative changes to health, social care, and community services are necessary to support their YA ambitions. CONCLUSIONS: This study gave voice to those who were previously unheard and demonstrates the monumental hurdles YAs with LLCs face to achieve their goals. A palliative approach to care can mitigate unnecessary hardships and support their goals.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.079
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.102
GPT teacher head0.410
Teacher spread0.309 · 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

Citations18
Published2016
Admission routes1
Has abstractyes

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