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A Tribute to Phil Hall

2009· article· en· W1741538500 on OpenAlexaffabout
Michael Klein

Bibliographic record

VenueBirth · 2009
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsCommunity Based Research Centre
Fundersnot available
KeywordsTributeMedicineObstetrics and gynaecologyGeneral hospitalObituaryOutreachManagementLibrary scienceLawFamily medicinePolitical science

Abstract

fetched live from OpenAlex

A Tribute to Phil HallPhil Hall, a long-time member of the Birth editorial board, died peacefully on November 27, 2008, in Winnipeg, Canada, after a two-year fight against an unrelenting cancer.Throughout his ordeal Phil was more concerned with others than himself, and he continued to teach and work in nonpatient roles, despite undergoing multiple treatments.He maintained an extensive supportive correspondence with friends around the world, continuing to be a source of wise advice and erudite council during his illness.He was most proud to have been in shape for the marriage of his daughter Ashleigh last summer.Phil was born in 1948 in Toronto, attended McMaster University in Hamilton, did his residency there in obstetrics and gynecology, and took a fellowship in prenatal diagnosis at Toronto General Hospital.The family moved to Ottawa in 1980, where Phil was a faculty member in obstetric perinatology at Ottawa General Hospital.In 1989 they moved to Winnipeg, where as Professor of Obstetrics and Gynecology at the University of Manitoba, Phil worked at St. Boniface General Hospital.Most recently he was Director of the St. Boniface Fetal Assessment Unit, Obstetric Outreach Programs, and Chair of the Medical Advisory Council.Phil was an incredibly thoughtful, generous, and gentle human being.He was a true Renaissance man, a voracious

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)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0100.004
Scholarly communication0.0140.008
Open science0.0020.005
Research integrity0.0100.027
Insufficient payload (model declined to judge)0.0820.048

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 head0.036
GPT teacher head0.357
Teacher spread0.321 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2009
Admission routes2
Has abstractyes

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