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Record W2073582762 · doi:10.5737/1181912x153175178

The 2004 Helene Hudson Memorial Lecture: Telling the story of SARS: Compassionate oncology care in the face of a futuristic health crisis

2005· article· en· W2073582762 on OpenAlexaffvenueabout
Janice Stewart, Pamela Savage, Joshua C. Johnson, Carolyn Saunders

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2005
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineDowntownRadiation oncologyFamily medicineHealth careInternal medicineRadiation therapy

Abstract

fetched live from OpenAlex

On behalf of my colleagues, Janice Stewart, Colleen Johnson and Carolyn Saunders, we would like to thank CANO for the opportunity to share our experience on how oncology nurses can make a difference in a time of crisis. We would also like to thank AMGEN for the sponsorship of the Helene Hudson lectureship. Princess Margaret Hospital (PMH) is located in downtown Toronto, Ontario. Together with the Ontario Cancer Institute, PMH is a member of the University Health Network, which also includes the Toronto General Hospital and the Toronto Western Hospital. It is the only facility in Canada devoted exclusively to cancer research, treatment and education. The patient volumes at PMH are very high. The hospital sees about 10,000 new patients a year and has 130 inpatient beds, which includes both allogeneic and autologous bone marrow transplants. On a daily basis, 500 radiation treatments, 130 outpatient chemotherapy patients and 30 outpatient blood product transfusions are given. In total, 190,000 patients are treated annually as outpatients for diagnosis, treatment and follow-up.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.052
GPT teacher head0.433
Teacher spread0.382 · 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.

Study designNot applicable
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

Citations3
Published2005
Admission routes3
Has abstractyes

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