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Record W3156471359 · doi:10.24908/iqurcp.11663

Comfort while Dying: a Transnational History of Pediatric End of Life Care

2018· article· en· W3156471359 on OpenAlexaffvenue
Emilie Hill-Smith

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsCarleton University
Fundersnot available
KeywordsEnd-of-life careSubject (documents)Hospice carePalliative careNursingMedicinePsychology

Abstract

fetched live from OpenAlex

Through an in-depth analysis of current and historical literature, this thesis explores the question: what is hospice and end of life care for children? I will dissect the various dimensions of children’s hospice care and how it has evolved over time. Also in my thesis, I will draw from my personal experiences in volunteering at a children’s hospice to discuss the support and care that volunteers receive. Through this literature review I hope to bring to light to a subject that is often overlooked or too difficult for people to discuss. I will propose plans to better the care for children and families who are facing the end of life. My thesis will summarize the current literature available about the type of care that children receive worldwide and how this care affects families and children’s well-being. There has been minimal research done on children in end of life due to the topic’s sensitive nature. My goals is to inform the public of an under discussed but important topic in paediatric medicine.

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)0.007
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 score0.019
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0100.024
Scholarly communication0.0050.010
Open science0.0010.007
Research integrity0.0020.009
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 head0.194
GPT teacher head0.414
Teacher spread0.221 · 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
Published2018
Admission routes2
Has abstractyes

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